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authorYves Fischer <yvesf-git@xapek.org>2015-03-21 23:32:10 +0100
committerYves Fischer <yvesf-git@xapek.org>2015-03-21 23:32:10 +0100
commit3d1048d79ad09d156836ff22edb9909d038fce87 (patch)
treedd9cd035f3e3537e2404208bf101be6bdbdfa865 /cv-head-lock
parentfdd4c6267e683ec107f3df43f02140f0ac01d63f (diff)
downloadscripts-3d1048d79ad09d156836ff22edb9909d038fce87.tar.gz
scripts-3d1048d79ad09d156836ff22edb9909d038fce87.zip
notifications
Diffstat (limited to 'cv-head-lock')
-rwxr-xr-x[-rw-r--r--]cv-head-lock/autolock.py104
-rw-r--r--cv-head-lock/xml/haarcascade_eye.xml15452
-rw-r--r--cv-head-lock/xml/haarcascade_eye_tree_eyeglasses.xml33158
-rw-r--r--cv-head-lock/xml/haarcascade_frontalface_alt.xml26161
-rw-r--r--cv-head-lock/xml/haarcascade_frontalface_alt2.xml23550
-rw-r--r--cv-head-lock/xml/haarcascade_frontalface_alt_tree.xml103493
-rw-r--r--cv-head-lock/xml/haarcascade_frontalface_default.xml (renamed from cv-head-lock/haarcascade_frontalface_default.xml)0
-rw-r--r--cv-head-lock/xml/haarcascade_fullbody.xml18118
-rw-r--r--cv-head-lock/xml/haarcascade_lefteye_2splits.xml9803
-rw-r--r--cv-head-lock/xml/haarcascade_lowerbody.xml15085
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_eyepair_big.xml10930
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_eyepair_small.xml12586
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_leftear.xml9322
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_lefteye.xml23791
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_mouth.xml21991
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_nose.xml48433
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_rightear.xml9671
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_righteye.xml42252
-rw-r--r--cv-head-lock/xml/haarcascade_mcs_upperbody.xml46327
-rw-r--r--cv-head-lock/xml/haarcascade_profileface.xml31930
-rw-r--r--cv-head-lock/xml/haarcascade_righteye_2splits.xml9833
-rw-r--r--cv-head-lock/xml/haarcascade_smile.xml8353
-rw-r--r--cv-head-lock/xml/haarcascade_upperbody.xml29767
23 files changed, 550085 insertions, 25 deletions
diff --git a/cv-head-lock/autolock.py b/cv-head-lock/autolock.py
index a4f4bf9..acbbbc0 100644..100755
--- a/cv-head-lock/autolock.py
+++ b/cv-head-lock/autolock.py
@@ -1,3 +1,4 @@
+#!/usr/bin/python
import cv2
import time
import logging
@@ -5,48 +6,101 @@ import dbus
session_bus = dbus.SessionBus()
+notif_id = id(__name__) % (2**32)
+
+
+def get_dbus_object(dest, path, iface):
+ proxy = session_bus.get_object(dest, path)
+ return dbus.Interface(proxy, iface)
+
+
+def notify(summary, body):
+ notif = get_dbus_object("org.freedesktop.Notifications",
+ "/org/freedesktop/Notifications",
+ "org.freedesktop.Notifications")
+ notif.Notify("autolock", notif_id, "", summary, body, [], {}, 1)
+
+
+def close_notification():
+ notif = get_dbus_object("org.freedesktop.Notifications",
+ "/org/freedesktop/Notifications",
+ "org.freedesktop.Notifications")
+ notif.CloseNotification(notif_id)
def tryLock():
- DBUS_DEST = "org.mate.ScreenSaver"
- DBUS_PATH = "/org/mate/ScreenSaver"
- DBUS_IFACE = "org.mate.ScreenSaver"
- proxy = session_bus.get_object(DBUS_DEST, DBUS_PATH)
- screensaver = dbus.Interface(proxy, DBUS_IFACE)
-
- if screensaver.Hello() == DBUS_DEST:
- if not screensaver.GetActive():
- logging.info("call Lock()")
- screensaver.Lock()
+ try:
+ screensaver = get_dbus_object("org.mate.ScreenSaver",
+ "/org/mate/ScreenSaver",
+ "org.mate.ScreenSaver")
+ if screensaver.Hello() == "org.mate.ScreenSaver":
+ if not screensaver.GetActive():
+ logging.info("call Lock()")
+ screensaver.Lock()
+ else:
+ logging.debug("Is locked already")
else:
- logging.debug("Is locked already")
- else:
- logging.error("Mate-Screensaver doesn't answer our call")
+ logging.error("Mate-Screensaver doesn't answer our call")
+ except:
+ pass
def detect(show_window=False):
- face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+ haar_cascade = cv2.CascadeClassifier("xml/haarcascade_eye.xml")
capture = cv2.VideoCapture(0)
last_seen = time.time()
+ last_analysis = last_seen
try:
while True:
- ret, frame = capture.read()
+ ret = capture.grab()
+
+ if time.time() - last_analysis < 0.5:
+ continue
+
+ ret, frame = capture.retrieve()
+ last_analysis = time.time()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
- faces = face_cascade.detectMultiScale(gray, 1.3, 5)
- if len(faces) == 1:
+ matches = haar_cascade.detectMultiScale(gray, 1.3, 5)
+ if len(matches) >= 1:
+ close_notification()
last_seen = time.time()
- elif time.time() - last_seen > 10: # sec
- tryLock()
-
- for (x, y, w, h) in faces:
- cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
- roi_gray = gray[y:y+h, x:x+w]
- roi_color = frame[y:y+h, x:x+w]
+ else:
+ timeout = (last_seen - time.time()) + 12
+ if timeout <= 10:
+ notify("Autolocker:",
+ "Activate screenlock in {:.0f}s".format(timeout))
+ if timeout <= 0:
+ tryLock()
if show_window:
+ gray = cv2.GaussianBlur(gray, (5, 5), 0)
+ gray = cv2.adaptiveThreshold(gray, 255,
+ cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
+ cv2.THRESH_BINARY, 11, 2)
+ for (x, y, w, h) in matches:
+ cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
+
+# roi = gray[y:(y+h), x:(x+w)]
+# if not roi != []: continue
+# print (x, y, w, h)
+# det = cv2.SimpleBlobDetector()
+# for blob in det.detect(roi):
+# cv2.circle(frame, (x+int(blob.pt[0]), y+int(blob.pt[1])), int(blob.size), (255,0,0))
+# circles = cv2.HoughCircles(roi, cv2.cv.CV_HOUGH_GRADIENT, 1, 20,
+# param1=40,param2=15,minRadius=4,maxRadius=min(w,h)/2)
+# if circles != None and len(circles) > 0:
+# circles = np.uint16(np.around(circles))
+# for circle in circles[0]:
+# center = (x + int(circle[0]), y + int(circle[1]))
+# cv2.circle(frame, center, int(circle[2]), (0,255,255))
+
cv2.imshow("img", frame)
- if cv2.waitKey(500) >= 0:
+ cv2.imshow("gray", gray)
+
+ key = cv2.waitKey(1)
+ ctrl_mask = 0x40000
+ if key in [ctrl_mask | ord("q"), ctrl_mask | ord("w"), 27]:
break
else:
time.sleep(0.3)
diff --git a/cv-head-lock/xml/haarcascade_eye.xml b/cv-head-lock/xml/haarcascade_eye.xml
new file mode 100644
index 0000000..8849ff9
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_eye.xml
@@ -0,0 +1,15452 @@
+<?xml version="1.0"?>
+<!--
+ Stump-based 20x20 frontal eye detector.
+ Created by Shameem Hameed (http://umich.edu/~shameem)
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<haarcascade_frontaleye type_id="opencv-haar-classifier">
+ <size>
+ 20 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 0 8 20 12 -1.</_>
+ <_>
+ 0 14 20 6 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.1296395957469940</threshold>
+ <left_val>-0.7730420827865601</left_val>
+ <right_val>0.6835014820098877</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 9 1 4 15 -1.</_>
+ <_>
+ 9 6 4 5 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0463268086314201</threshold>
+ <left_val>0.5735275149345398</left_val>
+ <right_val>-0.4909768998622894</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 6 10 9 2 -1.</_>
+ <_>
+ 9 10 3 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0161730907857418</threshold>
+ <left_val>0.6025434136390686</left_val>
+ <right_val>-0.3161070942878723</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 7 0 10 9 -1.</_>
+ <_>
+ 7 3 10 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0458288416266441</threshold>
+ <left_val>0.6417754888534546</left_val>
+ <right_val>-0.1554504036903381</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 12 2 2 18 -1.</_>
+ <_>
+ 12 8 2 6 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0537596195936203</threshold>
+ <left_val>0.5421931743621826</left_val>
+ <right_val>-0.2048082947731018</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 8 6 8 6 -1.</_>
+ <_>
+ 8 9 8 3 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0341711901128292</threshold>
+ <left_val>-0.2338819056749344</left_val>
+ <right_val>0.4841090142726898</right_val></_></_></trees>
+ <stage_threshold>-1.4562760591506958</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 2 0 17 18 -1.</_>
+ <_>
+ 2 6 17 6 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.2172762006521225</threshold>
+ <left_val>0.7109889984130859</left_val>
+ <right_val>-0.5936073064804077</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 10 10 1 8 -1.</_>
+ <_>
+ 10 14 1 4 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0120719699189067</threshold>
+ <left_val>-0.2824048101902008</left_val>
+ <right_val>0.5901355147361755</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 7 10 9 2 -1.</_>
+ <_>
+ 10 10 3 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0178541392087936</threshold>
+ <left_val>0.5313752293586731</left_val>
+ <right_val>-0.2275896072387695</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 5 1 6 6 -1.</_>
+ <_>
+ 5 3 6 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0223336108028889</threshold>
+ <left_val>-0.1755609959363937</left_val>
+ <right_val>0.6335613727569580</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 3 1 15 9 -1.</_>
+ <_>
+ 3 4 15 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0914200171828270</threshold>
+ <left_val>0.6156309247016907</left_val>
+ <right_val>-0.1689953058958054</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 6 3 9 6 -1.</_>
+ <_>
+ 6 5 9 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0289736501872540</threshold>
+ <left_val>-0.1225007995963097</left_val>
+ <right_val>0.7440117001533508</right_val></_></_>
+ <_>
+ <!-- tree 6 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 8 17 6 3 -1.</_>
+ <_>
+ 10 17 2 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>7.8203463926911354e-003</threshold>
+ <left_val>0.1697437018156052</left_val>
+ <right_val>-0.6544165015220642</right_val></_></_>
+ <_>
+ <!-- tree 7 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 9 10 9 1 -1.</_>
+ <_>
+ 12 10 3 1 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0203404892235994</threshold>
+ <left_val>-0.1255664974451065</left_val>
+ <right_val>0.8271045088768005</right_val></_></_>
+ <_>
+ <!-- tree 8 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 1 7 6 11 -1.</_>
+ <_>
+ 3 7 2 11 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0119261499494314</threshold>
+ <left_val>0.3860568106174469</left_val>
+ <right_val>-0.2099234014749527</right_val></_></_>
+ <_>
+ <!-- tree 9 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 9 18 3 1 -1.</_>
+ <_>
+ 10 18 1 1 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-9.7281101625412703e-004</threshold>
+ <left_val>-0.6376119256019592</left_val>
+ <right_val>0.1295239031314850</right_val></_></_>
+ <_>
+ <!-- tree 10 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 16 16 1 2 -1.</_>
+ <_>
+ 16 17 1 1 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>1.8322050891583785e-005</threshold>
+ <left_val>-0.3463147878646851</left_val>
+ <right_val>0.2292426973581314</right_val></_></_>
+ <_>
+ <!-- tree 11 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 9 17 6 3 -1.</_>
+ <_>
+ 11 17 2 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-8.0854417756199837e-003</threshold>
+ <left_val>-0.6366580128669739</left_val>
+ <right_val>0.1307865977287293</right_val></_></_></trees>
+ <stage_threshold>-1.2550230026245117</stage_threshold>
+ <parent>0</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 2 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 8 0 5 18 -1.</_>
+ <_>
+ 8 6 5 6 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.1181226968765259</threshold>
+ <left_val>0.6784452199935913</left_val>
+ <right_val>-0.5004578232765198</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 6 7 9 7 -1.</_>
+ <_>
+ 9 7 3 7 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0343327596783638</threshold>
+ <left_val>0.6718636155128479</left_val>
+ <right_val>-0.3574487864971161</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 14 6 6 10 -1.</_>
+ <_>
+ 16 6 2 10 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0215307995676994</threshold>
+ <left_val>0.7222070097923279</left_val>
+ <right_val>-0.1819241940975189</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 9 8 9 5 -1.</_>
+ <_>
+ 12 8 3 5 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0219099707901478</threshold>
+ <left_val>0.6652938723564148</left_val>
+ <right_val>-0.2751022875308991</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 3 7 9 6 -1.</_>
+ <_>
+ 6 7 3 6 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0287135392427444</threshold>
+ <left_val>0.6995570063591003</left_val>
+ <right_val>-0.1961558014154434</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 1 7 6 6 -1.</_>
+ <_>
+ 3 7 2 6 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0114674801006913</threshold>
+ <left_val>0.5926734805107117</left_val>
+ <right_val>-0.2209735065698624</right_val></_></_>
+ <_>
+ <!-- tree 6 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 16 0 4 18 -1.</_>
+ <_>
+ 16 6 4 6 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0226111691445112</threshold>
+ <left_val>0.3448306918144226</left_val>
+ <right_val>-0.3837955892086029</right_val></_></_>
+ <_>
+ <!-- tree 7 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 0 17 3 3 -1.</_>
+ <_>
+ 0 18 3 1 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-1.9308089977130294e-003</threshold>
+ <left_val>-0.7944571971893311</left_val>
+ <right_val>0.1562865972518921</right_val></_></_>
+ <_>
+ <!-- tree 8 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 16 0 2 1 -1.</_>
+ <_>
+ 17 0 1 1 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>5.6419910833938047e-005</threshold>
+ <left_val>-0.3089601099491119</left_val>
+ <right_val>0.3543108999729157</right_val></_></_></trees>
+ <stage_threshold>-1.3728189468383789</stage_threshold>
+ <parent>1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 3 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 0 8 20 12 -1.</_>
+ <_>
+ 0 14 20 6 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.1988652050495148</threshold>
+ <left_val>-0.5286070108413696</left_val>
+ <right_val>0.3553672134876251</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 6 6 9 8 -1.</_>
+ <_>
+ 9 6 3 8 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0360089391469955</threshold>
+ <left_val>0.4210968911647797</left_val>
+ <right_val>-0.3934898078441620</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 5 3 12 9 -1.</_>
+ <_>
+ 5 6 12 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0775698497891426</threshold>
+ <left_val>0.4799154102802277</left_val>
+ <right_val>-0.2512216866016388</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 4 16 1 2 -1.</_>
+ <_>
+ 4 17 1 1 2.</_></rects>
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+ <stage_threshold>-0.9774749279022217</stage_threshold>
+ <parent>22</parent>
+ <next>-1</next></_></stages></haarcascade_frontaleye>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_eye_tree_eyeglasses.xml b/cv-head-lock/xml/haarcascade_eye_tree_eyeglasses.xml
new file mode 100644
index 0000000..64070d9
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_eye_tree_eyeglasses.xml
@@ -0,0 +1,33158 @@
+<?xml version="1.0"?>
+<!--
+ Tree-based 20x20 frontal eye detector with better handling of eyeglasses.
+ Created by Shameem Hameed (http://umich.edu/~shameem)
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<haarcascade_eye_tree type_id="opencv-haar-classifier">
+ <size>
+ 20 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ <tilted>1</tilted></feature>
+ <threshold>-0.0269871093332767</threshold>
+ <left_node>2</left_node>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
+ <rects>
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+ <tilted>0</tilted></feature>
+ <threshold>0.0506705306470394</threshold>
+ <left_val>-0.8039547204971314</left_val>
+ <right_val>0.6049140095710754</right_val></_>
+ <_>
+ <!-- node 2 -->
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+ <threshold>-0.1291539072990418</threshold>
+ <left_val>0.9054458141326904</left_val>
+ <right_val>0.0440708100795746</right_val></_></_>
+ <_>
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+ <left_node>2</left_node>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <left_val>0.7921888232231140</left_val>
+ <right_val>0.0406922996044159</right_val></_>
+ <_>
+ <!-- node 2 -->
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+ <left_val>0.4258536100387573</left_val>
+ <right_val>-0.7032520771026611</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <_>
+ <!-- node 1 -->
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+ <_>
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+ <_>
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+ <_>
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+ <left_val>-0.4970377981662750</left_val>
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+ <stage_threshold>-1.6473180055618286</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
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+ <!-- stage 1 -->
+ <trees>
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+ <!-- root node -->
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+ <left_node>2</left_node>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <_>
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+ <left_val>0.8524125218391419</left_val>
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+ <_>
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+ <left_val>0.7178478837013245</left_val>
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+ <_>
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+ <left_val>-0.8019660115242004</left_val>
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+ <left_node>1</left_node>
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+ <left_val>-0.4529865980148315</left_val>
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+ <_>
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+ <_>
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+ <_>
+ <!-- root node -->
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+ <_>
+ <!-- node 1 -->
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+ <left_node>2</left_node>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.5266572833061218</left_val>
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+ <_>
+ <!-- tree 9 -->
+ <_>
+ <!-- root node -->
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+ <left_node>1</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>0.3418981134891510</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.4738334119319916</left_val>
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+ <_>
+ <!-- tree 10 -->
+ <_>
+ <!-- root node -->
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+ <left_node>1</left_node>
+ <right_node>2</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <left_val>-0.5138400793075562</left_val>
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+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <left_val>0.1457702964544296</left_val>
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+ <_>
+ <!-- tree 11 -->
+ <_>
+ <!-- root node -->
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+ <left_node>1</left_node>
+ <right_val>-0.3641282916069031</right_val></_>
+ <_>
+ <!-- node 1 -->
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.2929860949516296</left_val>
+ <right_val>-0.5142071843147278</right_val></_></_></trees>
+ <stage_threshold>-1.4432040452957153</stage_threshold>
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+ <next>-1</next></_>
+ <_>
+ <!-- stage 5 -->
+ <trees>
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+ <!-- root node -->
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+ <left_node>1</left_node>
+ <right_node>2</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <threshold>-3.1200000084936619e-003</threshold>
+ <left_val>0.8326563835144043</left_val>
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+ <_>
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+ <left_val>0.2377357929944992</left_val>
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+ <_>
+ <!-- tree 1 -->
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+ <left_val>0.4600824117660523</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <left_node>2</left_node>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.4702672958374023</left_val>
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+ <_>
+ <!-- tree 2 -->
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+ <left_node>1</left_node>
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+ <left_val>-0.5283988118171692</left_val>
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+ <_>
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+ <left_val>-0.2966451942920685</left_val>
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+ <left_val>-0.7374163269996643</left_val>
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+ <_>
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+ <_>
+ <!-- node 1 -->
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+ <_>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>-0.5865960121154785</left_val>
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+ <_>
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+ <left_node>2</left_node>
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+ <left_val>-0.1638054996728897</left_val>
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+ <stage_threshold>-1.4963719844818115</stage_threshold>
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+ <_>
+ <!-- node 1 -->
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+ <_>
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+ <left_val>-0.1076923012733460</left_val>
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+ <_>
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+ <left_node>1</left_node>
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+ <_>
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+ <_>
+ <!-- node 2 -->
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+ <_>
+ <!-- node 1 -->
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+ <_>
+ <!-- node 1 -->
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+ <!-- node 2 -->
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+ <left_val>-0.6653857827186585</left_val>
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+ <stage_threshold>-1.5243699550628662</stage_threshold>
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+ <!-- node 1 -->
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+ <!-- node 1 -->
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+ <_>
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+ <_>
+ <!-- node 1 -->
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+ <!-- node 2 -->
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+ <!-- root node -->
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+ <_>
+ <!-- node 1 -->
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+ <left_node>2</left_node>
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+ <_>
+ <!-- node 2 -->
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+ <_>
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+ <!-- root node -->
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+ <_>
+ <!-- node 1 -->
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+ <threshold>-0.0498106591403484</threshold>
+ <left_val>-0.8444283008575440</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.4401744008064270</left_val>
+ <right_val>3.7946549709886312e-003</right_val></_></_></trees>
+ <stage_threshold>-1.3664239645004272</stage_threshold>
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+ <!-- stage 11 -->
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+ <!-- root node -->
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+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <left_val>2.1881549619138241e-003</left_val>
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+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <left_val>0.8371809720993042</left_val>
+ <right_val>-0.0302797593176365</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
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+ <left_val>-0.3949576914310455</left_val>
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+ <_>
+ <!-- node 1 -->
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.8393334746360779</left_val>
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+ <_>
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+ <left_val>0.2309499979019165</left_val>
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+ <!-- node 1 -->
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.1146292984485626</left_val>
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+ <_>
+ <!-- tree 3 -->
+ <_>
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+ <threshold>-7.6022851280868053e-003</threshold>
+ <left_val>-0.5795956850051880</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <left_node>2</left_node>
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+ <_>
+ <!-- node 2 -->
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+ <left_node>2</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <_>
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+ <left_val>0.6643000841140747</left_val>
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+ <left_val>-0.3883669972419739</left_val>
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+ <left_val>-0.2430385053157806</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <_>
+ <!-- node 1 -->
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+ <_>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>0.3631944060325623</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <_>
+ <!-- node 1 -->
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+ <_>
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+ <_>
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+ <_>
+ <!-- node 1 -->
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+ <left_node>2</left_node>
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+ <!-- node 1 -->
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+ <_>
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+ <left_val>0.0540493614971638</left_val>
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+ <stage_threshold>-1.3621879816055298</stage_threshold>
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+ <_>
+ <!-- root node -->
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+ <left_node>1</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>0.1805239021778107</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>-0.4734764099121094</left_val>
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+ <_>
+ <!-- tree 12 -->
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+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.6332333087921143</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>-0.6153936982154846</left_val>
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+ <left_val>-0.6586161255836487</left_val>
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+ <!-- node 1 -->
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+ <_>
+ <!-- node 1 -->
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+ <right_val>-0.4215052127838135</right_val></_></_></trees>
+ <stage_threshold>-1.3905019760131836</stage_threshold>
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+ <trees>
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+ <!-- node 1 -->
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+ <left_val>-0.4450423121452332</left_val>
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+ <!-- tree 2 -->
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+ <_>
+ <!-- node 2 -->
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+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.2252389043569565</left_val>
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+ <stage_threshold>-1.2140669822692871</stage_threshold>
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+ <trees>
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+ <_>
+ <!-- node 1 -->
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+ <_>
+ <!-- node 2 -->
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+ <!-- tree 1 -->
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+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.3385855853557587</left_val>
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+ <_>
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+ <left_val>0.7872424125671387</left_val>
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+ <_>
+ <!-- tree 2 -->
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+ <_>
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+ <left_val>-0.4010753929615021</left_val>
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+ <_>
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+ <_>
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+ <_>
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+ <_>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>-0.0909421071410179</left_val>
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+ <stage_threshold>-1.2084549665451050</stage_threshold>
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+ <trees>
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+ <!-- root node -->
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+ <_>
+ <!-- node 1 -->
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+ <_>
+ <!-- node 2 -->
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+ <_>
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+ <_>
+ <!-- node 1 -->
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+ <_>
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+ <_>
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+ <stage_threshold>-1.2229189872741699</stage_threshold>
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+ <next>-1</next></_>
+ <_>
+ <!-- stage 19 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <threshold>-0.0185865405946970</threshold>
+ <left_node>1</left_node>
+ <right_val>-0.3652325868606567</right_val></_>
+ <_>
+ <!-- node 1 -->
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+ <threshold>-7.4109081178903580e-003</threshold>
+ <left_val>0.7742745280265808</left_val>
+ <right_node>2</right_node></_>
+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <tilted>1</tilted></feature>
+ <threshold>-0.0537111498415470</threshold>
+ <left_val>0.2421368062496185</left_val>
+ <right_val>-0.3780384063720703</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <tilted>1</tilted></feature>
+ <threshold>6.9198510609567165e-003</threshold>
+ <left_node>1</left_node>
+ <right_node>2</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
+ <rects>
+ <_>
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+ <tilted>0</tilted></feature>
+ <threshold>-0.0307591892778873</threshold>
+ <left_val>0.1352369040250778</left_val>
+ <right_val>-0.2795734107494354</right_val></_>
+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <threshold>-8.9597534388303757e-003</threshold>
+ <left_val>-0.6068031787872315</left_val>
+ <right_val>0.6957908272743225</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>0.0718162879347801</threshold>
+ <left_node>1</left_node>
+ <right_val>0.3064750134944916</right_val></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <threshold>-0.0116229997947812</threshold>
+ <left_node>2</left_node>
+ <right_val>-0.2269039005041122</right_val></_>
+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <tilted>1</tilted></feature>
+ <threshold>-1.0627550072968006e-003</threshold>
+ <left_val>0.4437439143657684</left_val>
+ <right_val>-0.3182457983493805</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>-7.3452957440167665e-004</threshold>
+ <left_val>-0.2268460988998413</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <tilted>1</tilted></feature>
+ <threshold>-0.0493037104606628</threshold>
+ <left_val>0.3425320088863373</left_val>
+ <right_node>2</right_node></_>
+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <threshold>-3.2011170405894518e-003</threshold>
+ <left_val>0.3091321885585785</left_val>
+ <right_val>-0.2007824033498764</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>0.0147066498175263</threshold>
+ <left_node>2</left_node>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
+ <rects>
+ <_>
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+ <tilted>1</tilted></feature>
+ <threshold>-0.1179851964116097</threshold>
+ <left_val>-0.9451779127120972</left_val>
+ <right_val>0.5742821097373962</right_val></_>
+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <threshold>-0.0166953597217798</threshold>
+ <left_val>0.2456703037023544</left_val>
+ <right_val>-0.1170765012502670</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <tilted>1</tilted></feature>
+ <threshold>-6.8853241391479969e-003</threshold>
+ <left_node>1</left_node>
+ <right_node>2</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <left_val>0.3950872123241425</left_val>
+ <right_val>-0.1002305969595909</right_val></_>
+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <threshold>0.2758679091930389</threshold>
+ <left_val>-0.1465985029935837</left_val>
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+ <_>
+ <!-- tree 6 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <threshold>-0.0264236796647310</threshold>
+ <left_val>-0.3286024928092957</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>1.8955089617520571e-003</threshold>
+ <left_val>0.1504637002944946</left_val>
+ <right_node>2</right_node></_>
+ <_>
+ <!-- node 2 -->
+ <feature>
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+ <tilted>1</tilted></feature>
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+ <left_val>-0.4049299061298370</left_val>
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+ <_>
+ <!-- tree 7 -->
+ <_>
+ <!-- root node -->
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+ <threshold>-7.8677870333194733e-003</threshold>
+ <left_val>0.2202492952346802</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.3722215890884399</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <_>
+ <!-- tree 8 -->
+ <_>
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+ <_>
+ <!-- node 1 -->
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+ <threshold>-0.0466256998479366</threshold>
+ <left_val>0.2524962127208710</left_val>
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+ <_>
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+ <left_val>-0.0877122431993485</left_val>
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+ <_>
+ <!-- tree 9 -->
+ <_>
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+ <left_node>1</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.4518854916095734</left_val>
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+ <_>
+ <!-- node 2 -->
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+ <left_val>0.2543467879295349</left_val>
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+ <_>
+ <!-- tree 10 -->
+ <_>
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+ <left_val>-0.1012134999036789</left_val>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>0.5219349861145020</left_val>
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+ <left_val>-0.4336254894733429</left_val>
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+ <left_node>2</left_node>
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+ <_>
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+ <left_val>-0.2556918859481812</left_val>
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+ <left_node>1</left_node>
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+ <_>
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+ <left_val>0.7100644707679749</left_val>
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+ <threshold>-0.2244834005832672</threshold>
+ <left_val>0.3052004873752594</left_val>
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+ <left_node>2</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.7130023837089539</left_val>
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+ <_>
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+ <left_val>-0.2796030938625336</left_val>
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+ <left_node>1</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>0.0658447295427322</left_val>
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+ <_>
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+ <left_val>0.2149105966091156</left_val>
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+ <left_node>2</left_node>
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+ <left_val>-0.6747183203697205</left_val>
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+ <threshold>-3.7310249172151089e-004</threshold>
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+ <left_val>-0.2346432954072952</left_val>
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+ <left_node>1</left_node>
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+ <left_val>-0.3282316029071808</left_val>
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+ <stage_threshold>-1.0878429412841797</stage_threshold>
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+ <!-- node 1 -->
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+ <left_val>6.4850552007555962e-003</left_val>
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+ <_>
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+ <_>
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+ <stage_threshold>-1.1084890365600586</stage_threshold>
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_frontalface_alt.xml b/cv-head-lock/xml/haarcascade_frontalface_alt.xml
new file mode 100644
index 0000000..5a6f275
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_frontalface_alt.xml
@@ -0,0 +1,26161 @@
+<?xml version="1.0"?>
+<!--
+ Stump-based 20x20 gentle adaboost frontal face detector.
+ Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<haarcascade_frontalface_alt type_id="opencv-haar-classifier">
+ <size>20 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
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+ <left_val>0.0337941907346249</left_val>
+ <right_val>0.8378106951713562</right_val></_></_>
+ <_>
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+ <left_val>0.1514132022857666</left_val>
+ <right_val>0.7488812208175659</right_val></_></_>
+ <_>
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+ <left_val>0.0900492817163467</left_val>
+ <right_val>0.6374819874763489</right_val></_></_></trees>
+ <stage_threshold>0.8226894140243530</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
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+ <left_val>0.5431231856346130</left_val>
+ <right_val>0.4188759922981262</right_val></_></_>
+ <_>
+ <!-- tree 212 -->
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+ <!-- root node -->
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+ <left_val>0.4738228023052216</left_val>
+ <right_val>0.6522961258888245</right_val></_></_></trees>
+ <stage_threshold>105.7611007690429700</stage_threshold>
+ <parent>20</parent>
+ <next>-1</next></_></stages></haarcascade_frontalface_alt>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_frontalface_alt2.xml b/cv-head-lock/xml/haarcascade_frontalface_alt2.xml
new file mode 100644
index 0000000..caa86f6
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_frontalface_alt2.xml
@@ -0,0 +1,23550 @@
+<?xml version="1.0"?>
+<!--
+ Tree-based 20x20 gentle adaboost frontal face detector.
+ Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<haarcascade_frontalface_alt2 type_id="opencv-haar-classifier">
+ <size>20 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
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+ <left_val>0.0383819006383419</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <threshold>0.0130761601030827</threshold>
+ <left_val>0.8965256810188294</left_val>
+ <right_val>0.2629314064979553</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
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+ <left_val>0.1021663025021553</left_val>
+ <right_node>1</right_node></_>
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+ <left_val>0.1238401979207993</left_val>
+ <right_val>0.6910383105278015</right_val></_></_>
+ <_>
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+ <threshold>-9.2708261217921972e-004</threshold>
+ <left_node>1</left_node>
+ <right_val>0.1953697055578232</right_val></_>
+ <_>
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+ <threshold>3.3989109215326607e-004</threshold>
+ <left_val>0.2101441025733948</left_val>
+ <right_val>0.8258674740791321</right_val></_></_></trees>
+ <stage_threshold>0.3506923019886017</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
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+ <_>
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+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>0.0495434887707233</threshold>
+ <left_val>0.5240166187286377</left_val>
+ <right_val>0.1769216060638428</right_val></_></_></trees>
+ <stage_threshold>5.9844889640808105</stage_threshold>
+ <parent>1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 3 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
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+ <_>6 6 8 3 2.</_></rects>
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+ <threshold>-4.9326149746775627e-003</threshold>
+ <left_node>1</left_node>
+ <right_val>0.1998064965009689</right_val></_>
+ <_>
+ <!-- node 1 -->
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+ <threshold>2.7918140403926373e-005</threshold>
+ <left_val>0.2299380004405975</left_val>
+ <right_val>0.7393211126327515</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
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+ <!-- root node -->
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+ <_>10 9 6 8 -1.</_>
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+ <tilted>0</tilted></feature>
+ <threshold>3.0876200180500746e-003</threshold>
+ <left_node>1</left_node>
+ <right_val>0.1533840000629425</right_val></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <_>12 5 3 10 -1.</_>
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+ <threshold>7.4669660534709692e-006</threshold>
+ <left_val>0.2036858946084976</left_val>
+ <right_val>0.5854915976524353</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <_>4 6 3 9 -1.</_>
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+ <tilted>0</tilted></feature>
+ <threshold>1.8739729421213269e-003</threshold>
+ <left_val>0.2049895972013474</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <threshold>9.3380251200869679e-004</threshold>
+ <left_val>0.3234199881553650</left_val>
+ <right_val>0.7323014140129089</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <_>12 3 8 3 -1.</_>
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+ <tilted>0</tilted></feature>
+ <threshold>1.9151850137859583e-003</threshold>
+ <left_val>0.3045149147510529</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <threshold>-5.9683797881007195e-003</threshold>
+ <left_val>0.2932133972644806</left_val>
+ <right_val>0.5621296167373657</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
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+ <tilted>0</tilted></feature>
+ <threshold>-7.2115601506084204e-004</threshold>
+ <left_val>0.3658036887645721</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <left_val>0.2712155878543854</left_val>
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+ <_>
+ <!-- tree 5 -->
+ <_>
+ <!-- root node -->
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+ <_>12 3 8 3 -1.</_>
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+ <tilted>0</tilted></feature>
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+ <left_val>0.4419837892055512</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <threshold>-0.0110997101292014</threshold>
+ <left_val>0.3612976968288422</left_val>
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+ <_>
+ <!-- tree 6 -->
+ <_>
+ <!-- root node -->
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+ <threshold>2.1164179779589176e-003</threshold>
+ <left_val>0.3628616929054260</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <threshold>-9.4317439943552017e-003</threshold>
+ <left_val>0.1601095050573349</left_val>
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+ <_>
+ <!-- tree 7 -->
+ <_>
+ <!-- root node -->
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+ <_>10 2 3 2 -1.</_>
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+ <left_val>0.1301288008689880</left_val>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>0.1786323934793472</left_val>
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+ <_>
+ <!-- tree 8 -->
+ <_>
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+ <threshold>4.6470930101349950e-004</threshold>
+ <left_val>0.3487383127212524</left_val>
+ <right_node>1</right_node></_>
+ <_>
+ <!-- node 1 -->
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+ <left_val>0.2673991024494171</left_val>
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+ <_>
+ <!-- tree 9 -->
+ <_>
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+ <left_node>1</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>0.5995336174964905</left_val>
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+ <_>
+ <!-- tree 10 -->
+ <_>
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+ <threshold>-0.0107323396950960</threshold>
+ <left_val>0.2150489985942841</left_val>
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+ <_>
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+ <left_val>0.0824118927121162</left_val>
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+ <_>
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+ <_>
+ <!-- node 1 -->
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+ <left_node>1</left_node>
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+ <_>
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+ <left_val>0.2729552090167999</left_val>
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+ <stage_threshold>8.5117864608764648</stage_threshold>
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+ <!-- tree 20 -->
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+ <!-- node 1 -->
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+ <left_val>0.5307171940803528</left_val>
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+ <!-- node 1 -->
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+ <left_val>0.4554812014102936</left_val>
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+ <left_val>0.6929240822792053</left_val>
+ <right_val>0.4778220057487488</right_val></_></_></trees>
+ <stage_threshold>53.7555694580078130</stage_threshold>
+ <parent>18</parent>
+ <next>-1</next></_></stages></haarcascade_frontalface_alt2>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_frontalface_alt_tree.xml b/cv-head-lock/xml/haarcascade_frontalface_alt_tree.xml
new file mode 100644
index 0000000..ff638d5
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_frontalface_alt_tree.xml
@@ -0,0 +1,103493 @@
+<?xml version="1.0"?>
+<!--
+ Stump-based 20x20 gentle adaboost frontal face detector.
+ This detector uses tree of stage classifiers instead of a cascade
+ Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<haarcascade_frontalface_tree_alt type_id="opencv-haar-classifier">
+ <size>20 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>2 7 14 4 -1.</_>
+ <_>2 9 14 2 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>3.7895569112151861e-003</threshold>
+ <left_val>-0.9294580221176148</left_val>
+ <right_val>0.6411985158920288</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>1 2 18 4 -1.</_>
+ <_>7 2 6 4 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0120981102809310</threshold>
+ <left_val>-0.7181009054183960</left_val>
+ <right_val>0.4714100956916809</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <_>5 5 9 5 -1.</_>
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+ <tilted>0</tilted></feature>
+ <threshold>1.2138449819758534e-003</threshold>
+ <left_val>-0.7283161282539368</left_val>
+ <right_val>0.3033069074153900</right_val></_></_></trees>
+ <stage_threshold>-1.3442519903182983</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
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+ <threshold>8.7510552257299423e-003</threshold>
+ <left_val>-0.8594707250595093</left_val>
+ <right_val>0.3688138127326965</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
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+ <tilted>0</tilted></feature>
+ <threshold>0.0219867005944252</threshold>
+ <left_val>-0.6018015146255493</left_val>
+ <right_val>0.3289783000946045</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
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+ <left_val>-0.7943195104598999</left_val>
+ <right_val>0.2549329996109009</right_val></_></_>
+ <_>
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+ <left_val>0.2272932976484299</left_val>
+ <right_val>-0.6362798213958740</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
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+ <left_val>-0.6001418232917786</left_val>
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+ <_>
+ <!-- tree 5 -->
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+ <left_val>-0.5854247212409973</left_val>
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+ <_>
+ <!-- tree 6 -->
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+ <left_val>0.1956356018781662</left_val>
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+ <_>
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+ <left_val>-0.4491649866104126</left_val>
+ <right_val>0.2667768895626068</right_val></_></_>
+ <_>
+ <!-- tree 8 -->
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+ <threshold>0.0113580999895930</threshold>
+ <left_val>0.1878322958946228</left_val>
+ <right_val>-0.6137936115264893</right_val></_></_></trees>
+ <stage_threshold>-1.6378560066223145</stage_threshold>
+ <parent>0</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 2 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
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+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>5 3 9 9 -1.</_>
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+ <tilted>0</tilted></feature>
+ <threshold>-0.0115889497101307</threshold>
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+ <stage_threshold>-1.1700680255889893</stage_threshold>
+ <parent>45</parent>
+ <next>-1</next></_></stages></haarcascade_frontalface_tree_alt>
+</opencv_storage>
diff --git a/cv-head-lock/haarcascade_frontalface_default.xml b/cv-head-lock/xml/haarcascade_frontalface_default.xml
index 8dff079..8dff079 100644
--- a/cv-head-lock/haarcascade_frontalface_default.xml
+++ b/cv-head-lock/xml/haarcascade_frontalface_default.xml
diff --git a/cv-head-lock/xml/haarcascade_fullbody.xml b/cv-head-lock/xml/haarcascade_fullbody.xml
new file mode 100644
index 0000000..f1eaf5b
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_fullbody.xml
@@ -0,0 +1,18118 @@
+<?xml version="1.0"?>
+<!--
+ 14x28 fullbody detector (see the detailed description below).
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2004, Hannes Kruppa and Bernt Schiele (ETH Zurich, Switzerland).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+"Haar"-based Detectors For Pedestrian Detection
+===============================================
+by Hannes Kruppa and Bernt Schiele, ETH Zurich, Switzerland
+
+This archive provides the following three detectors:
+- upper body detector (most fun, useful in many scenarios!)
+- lower body detector
+- full body detector
+
+These detectors have been successfully applied to pedestrian detection
+in still images. They can be directly passed as parameters to the
+program HaarFaceDetect.
+NOTE: These detectors deal with frontal and backside views but not
+with side views (also see "Known limitations" below).
+
+RESEARCHERS:
+If you are using any of the detectors or involved ideas please cite
+this paper (available at www.vision.ethz.ch/publications/):
+
+@InProceedings{Kruppa03-bmvc,
+ author = "Hannes Kruppa, Modesto Castrillon-Santana and Bernt Schiele",
+ title = "Fast and Robust Face Finding via Local Context."
+ booktitle = "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
+ year = "2003",
+ month = "October"
+}
+
+COMMERCIAL:
+If you have any commercial interest in this work please contact
+hkruppa@inf.ethz.ch
+
+
+ADDITIONAL INFORMATION
+======================
+Check out the demo movie, e.g. using mplayer or any (Windows/Linux-) player
+that can play back .mpg movies.
+Under Linux that's:
+> ffplay demo.mpg
+or:
+> mplayer demo.mpg
+
+The movie shows a person walking towards the camera in a realistic
+indoor setting. Using ffplay or mplayer you can pause and continue the
+movie by pressing the space bar.
+
+Detections coming from the different detectors are visualized using
+different line styles:
+upper body : dotted line
+lower body : dashed line
+full body : solid line
+
+You will notice that successful detections containing the target do
+not sit tightly on the body but also include some of the background
+left and right. This is not a bug but accurately reflects the
+employed training data which also includes portions of the background
+to ensure proper silhouette representation. If you want to get a
+feeling for the training data check out the CBCL data set:
+http://www.ai.mit.edu/projects/cbcl/software-datasets/PedestrianData.html
+
+There is also a small number of false alarms in this sequence.
+NOTE: This is per frame detection, not tracking (which is also one of
+the reasons why it is not mislead by the person's shadow on the back
+wall).
+
+On an Intel Xeon 1.7GHz machine the detectors operate at something
+between 6Hz to 14 Hz (on 352 x 288 frames per second) depending on the
+detector. The detectors work as well on much lower image resolutions
+which is always an interesting possibility for speed-ups or
+"coarse-to-fine" search strategies.
+
+Additional information e.g. on training parameters, detector
+combination, detecting other types of objects (e.g. cars) etc. is
+available in my PhD thesis report (available end of June). Check out
+www.vision.ethz.ch/kruppa/
+
+
+KNOWN LIMITATIONS
+==================
+1) the detectors only support frontal and back views but not sideviews.
+ Sideviews are trickier and it makes a lot of sense to include additional
+ modalities for their detection, e.g. motion information. I recommend
+ Viola and Jones' ICCV 2003 paper if this further interests you.
+
+2) dont expect these detectors to be as accurate as a frontal face detector.
+ A frontal face as a pattern is pretty distinct with respect to other
+ patterns occuring in the world (i.e. image "background"). This is not so
+ for upper, lower and especially full bodies, because they have to rely
+ on fragile silhouette information rather than internal (facial) features.
+ Still, we found especially the upper body detector to perform amazingly well.
+ In contrast to a face detector these detectors will also work at very low
+ image resolutions
+
+Acknowledgements
+================
+Thanks to Martin Spengler, ETH Zurich, for providing the demo movie.
+-->
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+ <stage_threshold>-30.8048992156982420</stage_threshold>
+ <parent>28</parent>
+ <next>-1</next></_></stages></haarcascade_fullbody>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_lefteye_2splits.xml b/cv-head-lock/xml/haarcascade_lefteye_2splits.xml
new file mode 100644
index 0000000..f005938
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_lefteye_2splits.xml
@@ -0,0 +1,9803 @@
+<?xml version="1.0"?>
+<!--
+ Tree-based 20x20 left eye detector.
+ The detector is trained by 6665 positive samples from FERET, VALID and BioID face databases.
+ Created by Shiqi Yu (http://yushiqi.cn/research/eyedetection).
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<haarcascade_lefteye type_id="opencv-haar-classifier">
+ <size>
+ 20 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
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+ <left_val>-0.5152115821838379</left_val>
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+ <_>
+ <!-- node 1 -->
+ <feature>
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+ <left_val>0.3341724872589111</left_val>
+ <right_val>-0.7955815792083740</right_val></_></_></trees>
+ <stage_threshold>-2.1312201023101807</stage_threshold>
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+ <next>-1</next></_>
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+ <!-- root node -->
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+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.5483155846595764</left_val>
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+ <_>
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+ <left_val>0.6911330819129944</left_val>
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+ <!-- node 1 -->
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+ <_>
+ <!-- tree 2 -->
+ <_>
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+ <left_node>1</left_node>
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+ <_>
+ <!-- node 1 -->
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+ <left_val>-0.3819977939128876</left_val>
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+ <_>
+ <!-- tree 3 -->
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+ <left_node>1</left_node>
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+ <_>
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+ <left_val>-0.8021379709243774</left_val>
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+ <_>
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+ <left_val>0.4101088047027588</left_val>
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+ <_>
+ <!-- tree 5 -->
+ <_>
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+ <left_val>0.3012467920780182</left_val>
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+ <_>
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+ <left_val>0.6231582164764404</left_val>
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+ <stage_threshold>-2.0176210403442383</stage_threshold>
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+ <left_val>-0.3950918912887573</left_val>
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+ <left_val>0.8077561259269714</left_val>
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+ <_>
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+ <left_val>-0.6604840755462646</left_val>
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+ <left_val>-0.2363958954811096</left_val>
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+ <stage_threshold>-1.8088439702987671</stage_threshold>
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+ <next>-1</next></_></stages></haarcascade_lefteye>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_lowerbody.xml b/cv-head-lock/xml/haarcascade_lowerbody.xml
new file mode 100644
index 0000000..56fb489
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_lowerbody.xml
@@ -0,0 +1,15085 @@
+<?xml version="1.0"?>
+<!--
+ 19x23 lowerbody detector (see the detailed description below).
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2004, Hannes Kruppa and Bernt Schiele (ETH Zurich, Switzerland).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+"Haar"-based Detectors For Pedestrian Detection
+===============================================
+by Hannes Kruppa and Bernt Schiele, ETH Zurich, Switzerland
+
+This archive provides the following three detectors:
+- upper body detector (most fun, useful in many scenarios!)
+- lower body detector
+- full body detector
+
+These detectors have been successfully applied to pedestrian detection
+in still images. They can be directly passed as parameters to the
+program HaarFaceDetect.
+NOTE: These detectors deal with frontal and backside views but not
+with side views (also see "Known limitations" below).
+
+RESEARCHERS:
+If you are using any of the detectors or involved ideas please cite
+this paper (available at www.vision.ethz.ch/publications/):
+
+@InProceedings{Kruppa03-bmvc,
+ author = "Hannes Kruppa, Modesto Castrillon-Santana and Bernt Schiele",
+ title = "Fast and Robust Face Finding via Local Context."
+ booktitle = "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
+ year = "2003",
+ month = "October"
+}
+
+COMMERCIAL:
+If you have any commercial interest in this work please contact
+hkruppa@inf.ethz.ch
+
+
+ADDITIONAL INFORMATION
+======================
+Check out the demo movie, e.g. using mplayer or any (Windows/Linux-) player
+that can play back .mpg movies.
+Under Linux that's:
+> ffplay demo.mpg
+or:
+> mplayer demo.mpg
+
+The movie shows a person walking towards the camera in a realistic
+indoor setting. Using ffplay or mplayer you can pause and continue the
+movie by pressing the space bar.
+
+Detections coming from the different detectors are visualized using
+different line styles:
+upper body : dotted line
+lower body : dashed line
+full body : solid line
+
+You will notice that successful detections containing the target do
+not sit tightly on the body but also include some of the background
+left and right. This is not a bug but accurately reflects the
+employed training data which also includes portions of the background
+to ensure proper silhouette representation. If you want to get a
+feeling for the training data check out the CBCL data set:
+http://www.ai.mit.edu/projects/cbcl/software-datasets/PedestrianData.html
+
+There is also a small number of false alarms in this sequence.
+NOTE: This is per frame detection, not tracking (which is also one of
+the reasons why it is not mislead by the person's shadow on the back
+wall).
+
+On an Intel Xeon 1.7GHz machine the detectors operate at something
+between 6Hz to 14 Hz (on 352 x 288 frames per second) depending on the
+detector. The detectors work as well on much lower image resolutions
+which is always an interesting possibility for speed-ups or
+"coarse-to-fine" search strategies.
+
+Additional information e.g. on training parameters, detector
+combination, detecting other types of objects (e.g. cars) etc. is
+available in my PhD thesis report (available end of June). Check out
+www.vision.ethz.ch/kruppa/
+
+
+KNOWN LIMITATIONS
+==================
+1) the detectors only support frontal and back views but not sideviews.
+ Sideviews are trickier and it makes a lot of sense to include additional
+ modalities for their detection, e.g. motion information. I recommend
+ Viola and Jones' ICCV 2003 paper if this further interests you.
+
+2) dont expect these detectors to be as accurate as a frontal face detector.
+ A frontal face as a pattern is pretty distinct with respect to other
+ patterns occuring in the world (i.e. image "background"). This is not so
+ for upper, lower and especially full bodies, because they have to rely
+ on fragile silhouette information rather than internal (facial) features.
+ Still, we found especially the upper body detector to perform amazingly well.
+ In contrast to a face detector these detectors will also work at very low
+ image resolutions
+
+Acknowledgements
+================
+Thanks to Martin Spengler, ETH Zurich, for providing the demo movie.
+-->
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+ <stage_threshold>-1.3129220008850098</stage_threshold>
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+ <stage_threshold>-1.2834340333938599</stage_threshold>
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+ <next>-1</next></_>
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+ <!-- stage 8 -->
+ <trees>
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+ <!-- root node -->
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+ <!-- tree 2 -->
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+ <left_val>-0.3435131013393402</left_val>
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+ <left_val>-0.3378525078296661</left_val>
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+ <stage_threshold>-1.2891789674758911</stage_threshold>
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+ <!-- stage 9 -->
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+ <stage_threshold>-30.6646995544433590</stage_threshold>
+ <parent>25</parent>
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_eyepair_big.xml b/cv-head-lock/xml/haarcascade_mcs_eyepair_big.xml
new file mode 100644
index 0000000..ecc92bb
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_eyepair_big.xml
@@ -0,0 +1,10930 @@
+<?xml version="1.0"?>
+<!--
+ 45x11 Eye pair detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+@INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
+<opencv_storage>
+<parojos_7000pos_15000neg_45x11 type_id="opencv-haar-classifier">
+ <size>
+ 45 11</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
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+ <left_val>-0.7954636812210083</left_val>
+ <right_val>0.7811083793640137</right_val></_></_>
+ <_>
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+ <left_val>-0.7282348275184631</left_val>
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+ <_>
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+ <left_val>0.6679443120956421</left_val>
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+ <left_val>-0.4881607890129089</left_val>
+ <right_val>0.6749575734138489</right_val></_></_></trees>
+ <stage_threshold>-1.4563479423522949</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
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+ <left_val>-0.6390901207923889</left_val>
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+ <_>
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+ <left_val>-0.7231366038322449</left_val>
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+ <_>
+ <!-- tree 5 -->
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+ <stage_threshold>-1.4917520284652710</stage_threshold>
+ <parent>0</parent>
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+ <next>-1</next></_></stages></parojos_7000pos_15000neg_45x11>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_eyepair_small.xml b/cv-head-lock/xml/haarcascade_mcs_eyepair_small.xml
new file mode 100644
index 0000000..73c2f7c
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_eyepair_small.xml
@@ -0,0 +1,12586 @@
+<?xml version="1.0"?>
+<!--
+ 22x5 Eye pair detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+@INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
+
+<opencv_storage>
+<parojos type_id="opencv-haar-classifier">
+ <size>
+ 22 5</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
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+ <!-- root node -->
+ <feature>
+ <rects>
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+ 8 1 5 2 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.2526662945747376</threshold>
+ <left_val>-0.7711064219474793</left_val>
+ <right_val>0.8083379864692688</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 17 3 5 2 -1.</_>
+ <_>
+ 17 4 5 1 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>5.6097120977938175e-003</threshold>
+ <left_val>-0.7382487058639526</left_val>
+ <right_val>0.3885168135166168</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <_>
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+ <threshold>0.1529859006404877</threshold>
+ <left_val>-0.5524439215660095</left_val>
+ <right_val>0.6428967118263245</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
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+ <left_val>0.4628770947456360</left_val>
+ <right_val>-0.5341588854789734</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
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+ <threshold>0.4064395129680634</threshold>
+ <left_val>0.0170928593724966</left_val>
+ <right_val>-4.6732509765625000e+003</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
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+ <feature>
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+ <threshold>0.0296334698796272</threshold>
+ <left_val>-0.4434844851493835</left_val>
+ <right_val>0.5070301294326782</right_val></_></_>
+ <_>
+ <!-- tree 6 -->
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+ <left_val>-0.6646639108657837</left_val>
+ <right_val>0.3020784854888916</right_val></_></_></trees>
+ <stage_threshold>-1.7232350111007690</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
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+ <feature>
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+ <left_val>-0.6565846204757690</left_val>
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+ <_>
+ <!-- tree 1 -->
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+ <_>
+ <!-- tree 2 -->
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+ <_>
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+ <stage_threshold>-1.4015640020370483</stage_threshold>
+ <parent>0</parent>
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+ <!-- stage 2 -->
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+ <!-- tree 2 -->
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+ <stage_threshold>-1.8471280336380005</stage_threshold>
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+ <stage_threshold>-1.6923429965972900</stage_threshold>
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+ <left_val>-0.3545598089694977</left_val>
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+ <stage_threshold>-1.4611779451370239</stage_threshold>
+ <parent>15</parent>
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_leftear.xml b/cv-head-lock/xml/haarcascade_mcs_leftear.xml
new file mode 100644
index 0000000..a5a0383
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_leftear.xml
@@ -0,0 +1,9322 @@
+<?xml version="1.0"?>
+<!----------------------------------------------------------------------------
+ 12x20 Left ear (in the image) detector computed with 5000 positive and 15000
+ negative samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2011, Modesto Castrillon-Santana (IUSIANI, Universidad de
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite this paper:
+
+@INPROCEEDINGS{Castrillon11-caepia,
+ author = "Castrill\'on Santana, M. and Lorenzo Navarro, J. and Hern\'andez Sosa, D. ",
+ title = "An Study on Ear Detection and its Applications to Face Detection",
+ booktitle = "Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)",
+ year = "2011",
+ month = "November",
+ address = "La Laguna, Spain",
+ file = F
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto.html or in the paper.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+------------------------------------------------------------------------>
+
+<opencv_storage>
+<classifier_LeftEarA_trainNew2011_12_20 type_id="opencv-haar-classifier">
+ <size>
+ 12 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
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+ <threshold>1.2798480689525604e-001</threshold>
+ <left_val>-7.1108317375183105e-001</left_val>
+ <right_val>8.3952748775482178e-001</right_val></_></_>
+ <_>
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+ <right_val>-5.7402020692825317e-001</right_val></_></_></trees>
+ <stage_threshold>-1.6897829771041870e+000</stage_threshold>
+ <parent>-1</parent>
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_lefteye.xml b/cv-head-lock/xml/haarcascade_mcs_lefteye.xml
new file mode 100644
index 0000000..3aeeb5a
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_lefteye.xml
@@ -0,0 +1,23791 @@
+<?xml version="1.0"?>
+<!--
+ 18x12 Left eye (in the image) detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+@INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
+<opencv_storage>
+<ojoI type_id="opencv-haar-classifier">
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+ <parent>12</parent>
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_mouth.xml b/cv-head-lock/xml/haarcascade_mcs_mouth.xml
new file mode 100644
index 0000000..ca7d37d
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_mouth.xml
@@ -0,0 +1,21991 @@
+<?xml version="1.0"?>
+<!--
+ 25x15 Mouth detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+@INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_nose.xml b/cv-head-lock/xml/haarcascade_mcs_nose.xml
new file mode 100644
index 0000000..051c38c
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_nose.xml
@@ -0,0 +1,48433 @@
+<?xml version="1.0"?>
+<!--
+ 18x15 Nose detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2008, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+@INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
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+ <stage_threshold>-1.0771520137786865</stage_threshold>
+ <parent>18</parent>
+ <next>-1</next></_></stages></classifier_Nariz_20stages>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_rightear.xml b/cv-head-lock/xml/haarcascade_mcs_rightear.xml
new file mode 100644
index 0000000..eaf17b0
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_rightear.xml
@@ -0,0 +1,9671 @@
+<?xml version="1.0"?>
+<!----------------------------------------------------------------------------
+ 12x20 Right ear (in the image) detector computed with 5000 positive and 15000
+ negative samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2011, Modesto Castrillon-Santana (IUSIANI, Universidad de
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite this paper:
+
+@INPROCEEDINGS{Castrillon11-caepia,
+ author = "Castrill\'on Santana, M. and Lorenzo Navarro, J. and Hern\'andez Sosa, D. ",
+ title = "An Study on Ear Detection and its Applications to Face Detection",
+ booktitle = "Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)",
+ year = "2011",
+ month = "November",
+ address = "La Laguna, Spain",
+ file = F
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto.html or in the paper.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+------------------------------------------------------------------------>
+<opencv_storage>
+<classifier_RightEarA_trainNew2011_12_20 type_id="opencv-haar-classifier">
+ <size>
+ 12 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
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+ <threshold>-1.2393590062856674e-001</threshold>
+ <left_val>8.2578802108764648e-001</left_val>
+ <right_val>-6.7602032423019409e-001</right_val></_></_>
+ <_>
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+ <_>
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+ <left_val>5.6749510765075684e-001</left_val>
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+ <_>
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+ <left_val>-7.6717972755432129e-001</left_val>
+ <right_val>1.9637049734592438e-001</right_val></_></_>
+ <_>
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+ <_>
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+ <left_val>-6.8352818489074707e-001</left_val>
+ <right_val>3.5795739293098450e-001</right_val></_></_></trees>
+ <stage_threshold>-1.3802499771118164e+000</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
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+ <left_val>7.8830862045288086e-001</left_val>
+ <right_val>-5.8876812458038330e-001</right_val></_></_>
+ <_>
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+ <!-- tree 12 -->
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+ <stage_threshold>-1.5061739683151245e+000</stage_threshold>
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+ <!-- stage 4 -->
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+ <!-- tree 4 -->
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_righteye.xml b/cv-head-lock/xml/haarcascade_mcs_righteye.xml
new file mode 100644
index 0000000..dc99176
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_righteye.xml
@@ -0,0 +1,42252 @@
+<?xml version="1.0"?>
+<!--
+ 18x12 Right eye (in the image) detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+@INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
+
+<opencv_storage>
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+ <left_val>-0.3207955062389374</left_val>
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+ <stage_threshold>-1.3446700572967529</stage_threshold>
+ <parent>16</parent>
+ <next>-1</next></_></stages></ojoD>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_mcs_upperbody.xml b/cv-head-lock/xml/haarcascade_mcs_upperbody.xml
new file mode 100644
index 0000000..792b8d1
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_upperbody.xml
@@ -0,0 +1,46327 @@
+<?xml version="1.0"?>
+<!--
+ 22x20 Head and shoulders detector
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using this particular detector or involved ideas please cite one of these papers:
+
+@InProceedings{Kruppa03-pets,
+ author = "Hannes Kruppa, Modesto Castrill\'on-Santana and Bernt Schiele",
+ title = "Fast and Robust Face Finding via Local Context."
+ booktitle = "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
+ year = "2003",
+ month = "October"
+}
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
+<opencv_storage>
+<HS type_id="opencv-haar-classifier">
+ <size>
+ 22 20</size>
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+ <left_val>-0.4920325875282288</left_val>
+ <right_val>0.3854399025440216</right_val></_></_>
+ <_>
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+ <left_val>-0.3749389052391052</left_val>
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+ <_>
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+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_profileface.xml b/cv-head-lock/xml/haarcascade_profileface.xml
new file mode 100644
index 0000000..5c0a5fd
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_profileface.xml
@@ -0,0 +1,31930 @@
+<?xml version="1.0"?>
+<!--
+ 20x20 profile face detector.
+ Contributed by David Bradley from Princeton University.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+
+-->
+
+<opencv_storage>
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+ <size>20 20</size>
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+ <stage_threshold>-1.2739679813385010</stage_threshold>
+ <parent>24</parent>
+ <next>-1</next></_></stages></haarcascade_profileface>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_righteye_2splits.xml b/cv-head-lock/xml/haarcascade_righteye_2splits.xml
new file mode 100644
index 0000000..2c260e8
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_righteye_2splits.xml
@@ -0,0 +1,9833 @@
+<?xml version="1.0"?>
+<!--
+ Tree-based 20x20 right eye detector.
+ The detector is trained by 6665 positive samples from FERET, VALID and BioID face databases.
+ Created by Shiqi Yu (http://yushiqi.cn/research/eyedetection).
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+ IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+ By downloading, copying, installing or using the software you agree to this license.
+ If you do not agree to this license, do not download, install,
+ copy or use the software.
+
+
+ Intel License Agreement
+ For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistribution's of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+
+ * Redistribution's in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+ * The name of Intel Corporation may not be used to endorse or promote products
+ derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<haarcascade_righteye type_id="opencv-haar-classifier">
+ <size>
+ 20 20</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
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+ <!-- root node -->
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+ <threshold>-0.0482105500996113</threshold>
+ <left_node>1</left_node>
+ <right_val>-0.8614044785499573</right_val></_>
+ <_>
+ <!-- node 1 -->
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+ <tilted>1</tilted></feature>
+ <threshold>-0.0415761992335320</threshold>
+ <left_val>0.9176905751228333</left_val>
+ <right_val>-0.2128400951623917</right_val></_></_>
+ <_>
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+ <left_val>-0.6978576779365540</left_val>
+ <right_node>1</right_node></_>
+ <_>
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+ <_>
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+ <right_node>1</right_node></_>
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+ <left_val>-0.7066624164581299</left_val>
+ <right_val>0.7921097874641418</right_val></_></_>
+ <_>
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+ <stage_threshold>-2.2325520515441895</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
+ <trees>
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+ <!-- root node -->
+ <feature>
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+ <_>
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+ <_>
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+ <_>
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+ <_>
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+ <left_val>0.1604758948087692</left_val>
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+ <left_val>-0.7173789739608765</left_val>
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+ <stage_threshold>-2.1598019599914551</stage_threshold>
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+ <stage_threshold>-2.1268370151519775</stage_threshold>
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+ <left_val>0.4915060997009277</left_val>
+ <right_val>-0.3801138997077942</right_val></_></_></trees>
+ <stage_threshold>-1.7649420499801636</stage_threshold>
+ <parent>18</parent>
+ <next>-1</next></_></stages></haarcascade_righteye>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_smile.xml b/cv-head-lock/xml/haarcascade_smile.xml
new file mode 100644
index 0000000..b7a6a3a
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_smile.xml
@@ -0,0 +1,8353 @@
+<?xml version="1.0"?>
+<!----------------------------------------------------------------------------
+ Smile detector
+ Contributed by Oscar Deniz Suarez
+ More information can be found at http://visilab.etsii.uclm.es/personas/oscar/oscar.html
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2011, Modesto Castrillon-Santana (IUSIANI, Universidad de
+| Las Palmas de Gran Canaria, Spain).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+------------------------------------------------------------------------>
+<opencv_storage>
+<!-- Automatically converted from data/classifier, window size = 36x18 -->
+<SmileDetector type_id="opencv-haar-classifier">
+ <size>
+ 36 18</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ <tilted>0</tilted></feature>
+ <threshold>-4.8783610691316426e-004</threshold>
+ <left_val>0.5921934843063355</left_val>
+ <right_val>-0.4416360855102539</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
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+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ 34 14 2 4 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-4.2209611274302006e-004</threshold>
+ <left_val>0.3031865060329437</left_val>
+ <right_val>-0.3291291892528534</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
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+ <threshold>-4.9940118333324790e-004</threshold>
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+ <left_val>-0.3489313125610352</left_val>
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+ <_>
+ <!-- tree 5 -->
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+ <left_val>-0.1665772050619125</left_val>
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+ <_>
+ <!-- tree 7 -->
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+ <left_val>0.6266279220581055</left_val>
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+ <_>
+ <!-- tree 8 -->
+ <_>
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+ <left_val>-0.2394447028636932</left_val>
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+ <!-- tree 9 -->
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+ <left_val>-0.1843906939029694</left_val>
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+ <!-- tree 10 -->
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+ <left_val>0.1616805940866470</left_val>
+ <right_val>-0.8150117993354797</right_val></_></_></trees>
+ <stage_threshold>-1.2678639888763428</stage_threshold>
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+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
+ <trees>
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+ <!-- root node -->
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+ <left_val>-0.3327588140964508</left_val>
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+ <_>
+ <!-- tree 1 -->
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+ <left_val>0.3635309040546417</left_val>
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+ <!-- tree 2 -->
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+ <left_val>0.7135239243507385</left_val>
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+ <!-- tree 3 -->
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+ <!-- tree 9 -->
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+ <left_val>-0.2235050052404404</left_val>
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+ <_>
+ <!-- tree 10 -->
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+ <left_val>-0.2142623066902161</left_val>
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+ <stage_threshold>-1.5844069719314575</stage_threshold>
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+ <_>
+ <!-- stage 2 -->
+ <trees>
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+ <left_val>-0.0870805233716965</left_val>
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+ <stage_threshold>-1.3879380226135254</stage_threshold>
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+ <next>-1</next></_>
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+ <left_val>-0.1560467034578323</left_val>
+ <right_val>0.0662133172154427</right_val></_></_>
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+ <stage_threshold>-1.3777890205383301</stage_threshold>
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+ <left_val>-1.6027219826355577e-003</left_val>
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+ <stage_threshold>-1.1933319568634033</stage_threshold>
+ <parent>18</parent>
+ <next>-1</next></_></stages></SmileDetector>
+</opencv_storage>
diff --git a/cv-head-lock/xml/haarcascade_upperbody.xml b/cv-head-lock/xml/haarcascade_upperbody.xml
new file mode 100644
index 0000000..45eeac9
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_upperbody.xml
@@ -0,0 +1,29767 @@
+<?xml version="1.0"?>
+<!--
+ 22x18 upperbody detector (see the detailed description below).
+
+//////////////////////////////////////////////////////////////////////////
+| Contributors License Agreement
+| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+| By downloading, copying, installing or using the software you agree
+| to this license.
+| If you do not agree to this license, do not download, install,
+| copy or use the software.
+|
+| Copyright (c) 2004, Hannes Kruppa and Bernt Schiele (ETH Zurich, Switzerland).
+| All rights reserved.
+|
+| Redistribution and use in source and binary forms, with or without
+| modification, are permitted provided that the following conditions are
+| met:
+|
+| * Redistributions of source code must retain the above copyright
+| notice, this list of conditions and the following disclaimer.
+| * Redistributions in binary form must reproduce the above
+| copyright notice, this list of conditions and the following
+| disclaimer in the documentation and/or other materials provided
+| with the distribution.
+| * The name of Contributor may not used to endorse or promote products
+| derived from this software without specific prior written permission.
+|
+| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
+| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+"Haar"-based Detectors For Pedestrian Detection
+===============================================
+by Hannes Kruppa and Bernt Schiele, ETH Zurich, Switzerland
+
+This archive provides the following three detectors:
+- upper body detector (most fun, useful in many scenarios!)
+- lower body detector
+- full body detector
+
+These detectors have been successfully applied to pedestrian detection
+in still images. They can be directly passed as parameters to the
+program HaarFaceDetect.
+NOTE: These detectors deal with frontal and backside views but not
+with side views (also see "Known limitations" below).
+
+RESEARCHERS:
+If you are using any of the detectors or involved ideas please cite
+this paper (available at www.vision.ethz.ch/publications/):
+
+@InProceedings{Kruppa03-bmvc,
+ author = "Hannes Kruppa, Modesto Castrillon-Santana and Bernt Schiele",
+ title = "Fast and Robust Face Finding via Local Context."
+ booktitle = "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
+ year = "2003",
+ month = "October"
+}
+
+COMMERCIAL:
+If you have any commercial interest in this work please contact
+hkruppa@inf.ethz.ch
+
+
+ADDITIONAL INFORMATION
+======================
+Check out the demo movie, e.g. using mplayer or any (Windows/Linux-) player
+that can play back .mpg movies.
+Under Linux that's:
+> ffplay demo.mpg
+or:
+> mplayer demo.mpg
+
+The movie shows a person walking towards the camera in a realistic
+indoor setting. Using ffplay or mplayer you can pause and continue the
+movie by pressing the space bar.
+
+Detections coming from the different detectors are visualized using
+different line styles:
+upper body : dotted line
+lower body : dashed line
+full body : solid line
+
+You will notice that successful detections containing the target do
+not sit tightly on the body but also include some of the background
+left and right. This is not a bug but accurately reflects the
+employed training data which also includes portions of the background
+to ensure proper silhouette representation. If you want to get a
+feeling for the training data check out the CBCL data set:
+http://www.ai.mit.edu/projects/cbcl/software-datasets/PedestrianData.html
+
+There is also a small number of false alarms in this sequence.
+NOTE: This is per frame detection, not tracking (which is also one of
+the reasons why it is not mislead by the person's shadow on the back
+wall).
+
+On an Intel Xeon 1.7GHz machine the detectors operate at something
+between 6Hz to 14 Hz (on 352 x 288 frames per second) depending on the
+detector. The detectors work as well on much lower image resolutions
+which is always an interesting possibility for speed-ups or
+"coarse-to-fine" search strategies.
+
+Additional information e.g. on training parameters, detector
+combination, detecting other types of objects (e.g. cars) etc. is
+available in my PhD thesis report (available end of June). Check out
+www.vision.ethz.ch/kruppa/
+
+
+KNOWN LIMITATIONS
+==================
+1) the detectors only support frontal and back views but not sideviews.
+ Sideviews are trickier and it makes a lot of sense to include additional
+ modalities for their detection, e.g. motion information. I recommend
+ Viola and Jones' ICCV 2003 paper if this further interests you.
+
+2) dont expect these detectors to be as accurate as a frontal face detector.
+ A frontal face as a pattern is pretty distinct with respect to other
+ patterns occuring in the world (i.e. image "background"). This is not so
+ for upper, lower and especially full bodies, because they have to rely
+ on fragile silhouette information rather than internal (facial) features.
+ Still, we found especially the upper body detector to perform amazingly well.
+ In contrast to a face detector these detectors will also work at very low
+ image resolutions
+
+Acknowledgements
+================
+Thanks to Martin Spengler, ETH Zurich, for providing the demo movie.
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