From 3d1048d79ad09d156836ff22edb9909d038fce87 Mon Sep 17 00:00:00 2001
From: Yves Fischer <yvesf-git@xapek.org>
Date: Sat, 21 Mar 2015 23:32:10 +0100
Subject: notifications

---
 cv-head-lock/xml/haarcascade_eye.xml               |  15452 +++
 .../xml/haarcascade_eye_tree_eyeglasses.xml        |  33158 ++++++
 cv-head-lock/xml/haarcascade_frontalface_alt.xml   |  26161 +++++
 cv-head-lock/xml/haarcascade_frontalface_alt2.xml  |  23550 ++++
 .../xml/haarcascade_frontalface_alt_tree.xml       | 103493 ++++++++++++++++++
 .../xml/haarcascade_frontalface_default.xml        |  35712 ++++++
 cv-head-lock/xml/haarcascade_fullbody.xml          |  18118 +++
 cv-head-lock/xml/haarcascade_lefteye_2splits.xml   |   9803 ++
 cv-head-lock/xml/haarcascade_lowerbody.xml         |  15085 +++
 cv-head-lock/xml/haarcascade_mcs_eyepair_big.xml   |  10930 ++
 cv-head-lock/xml/haarcascade_mcs_eyepair_small.xml |  12586 +++
 cv-head-lock/xml/haarcascade_mcs_leftear.xml       |   9322 ++
 cv-head-lock/xml/haarcascade_mcs_lefteye.xml       |  23791 ++++
 cv-head-lock/xml/haarcascade_mcs_mouth.xml         |  21991 ++++
 cv-head-lock/xml/haarcascade_mcs_nose.xml          |  48433 ++++++++
 cv-head-lock/xml/haarcascade_mcs_rightear.xml      |   9671 ++
 cv-head-lock/xml/haarcascade_mcs_righteye.xml      |  42252 +++++++
 cv-head-lock/xml/haarcascade_mcs_upperbody.xml     |  46327 ++++++++
 cv-head-lock/xml/haarcascade_profileface.xml       |  31930 ++++++
 cv-head-lock/xml/haarcascade_righteye_2splits.xml  |   9833 ++
 cv-head-lock/xml/haarcascade_smile.xml             |   8353 ++
 cv-head-lock/xml/haarcascade_upperbody.xml         |  29767 +++++
 22 files changed, 585718 insertions(+)
 create mode 100644 cv-head-lock/xml/haarcascade_eye.xml
 create mode 100644 cv-head-lock/xml/haarcascade_eye_tree_eyeglasses.xml
 create mode 100644 cv-head-lock/xml/haarcascade_frontalface_alt.xml
 create mode 100644 cv-head-lock/xml/haarcascade_frontalface_alt2.xml
 create mode 100644 cv-head-lock/xml/haarcascade_frontalface_alt_tree.xml
 create mode 100644 cv-head-lock/xml/haarcascade_frontalface_default.xml
 create mode 100644 cv-head-lock/xml/haarcascade_fullbody.xml
 create mode 100644 cv-head-lock/xml/haarcascade_lefteye_2splits.xml
 create mode 100644 cv-head-lock/xml/haarcascade_lowerbody.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_eyepair_big.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_eyepair_small.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_leftear.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_lefteye.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_mouth.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_nose.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_rightear.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_righteye.xml
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_upperbody.xml
 create mode 100644 cv-head-lock/xml/haarcascade_profileface.xml
 create mode 100644 cv-head-lock/xml/haarcascade_righteye_2splits.xml
 create mode 100644 cv-head-lock/xml/haarcascade_smile.xml
 create mode 100644 cv-head-lock/xml/haarcascade_upperbody.xml

(limited to 'cv-head-lock/xml')

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>
+                <_>
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+                <_>
+                  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>
+                <_>
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+                <_>
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+              <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>
+                <_>
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+                <_>
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+              <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>
+                <_>
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+                <_>
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+              <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>
+                <_>
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+                <_>
+                  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>
+                <_>
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+                <_>
+                  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>
+                <_>
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+                <_>
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+              <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>
+              <tilted>0</tilted></feature>
+            <threshold>8.2630853285081685e-005</threshold>
+            <left_val>-0.3847548961639404</left_val>
+            <right_val>0.3184922039508820</right_val></_></_>
+        <_>
+          <!-- tree 4 -->
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+            <!-- root node -->
+            <feature>
+              <rects>
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+                <_>
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+              <tilted>0</tilted></feature>
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+            <left_val>-0.2642731964588165</left_val>
+            <right_val>0.3254724144935608</right_val></_></_>
+        <_>
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+            <!-- root node -->
+            <feature>
+              <rects>
+                <_>
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+                <_>
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+              <tilted>0</tilted></feature>
+            <threshold>-0.0185748506337404</threshold>
+            <left_val>0.4673658907413483</left_val>
+            <right_val>-0.1506727039813995</right_val></_></_>
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+                  1 0 1 1 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>-7.0008762122597545e-005</threshold>
+            <left_val>0.2931315004825592</left_val>
+            <right_val>-0.2536509931087494</right_val></_></_>
+        <_>
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+            <left_val>0.4627366065979004</left_val>
+            <right_val>-0.1314805001020432</right_val></_></_>
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+              <tilted>0</tilted></feature>
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+            <left_val>0.4162721931934357</left_val>
+            <right_val>-0.1775148957967758</right_val></_></_>
+        <_>
+          <!-- tree 9 -->
+          <_>
+            <!-- root node -->
+            <feature>
+              <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 -->
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+            <!-- root node -->
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+              <tilted>1</tilted></feature>
+            <threshold>-0.0269871093332767</threshold>
+            <left_node>2</left_node>
+            <right_node>1</right_node></_>
+          <_>
+            <!-- node 1 -->
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+            <left_val>-0.8039547204971314</left_val>
+            <right_val>0.6049140095710754</right_val></_>
+          <_>
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+            <left_val>0.9054458141326904</left_val>
+            <right_val>0.0440708100795746</right_val></_></_>
+        <_>
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+            <left_node>2</left_node>
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+            <left_val>0.7921888232231140</left_val>
+            <right_val>0.0406922996044159</right_val></_>
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+            <left_val>0.4258536100387573</left_val>
+            <right_val>-0.7032520771026611</right_val></_></_>
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+        <_>
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+            <left_val>-0.4970377981662750</left_val>
+            <right_val>0.2812925875186920</right_val></_></_></trees>
+      <stage_threshold>-1.6473180055618286</stage_threshold>
+      <parent>-1</parent>
+      <next>-1</next></_>
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+            <left_val>0.8524125218391419</left_val>
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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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+            <right_val>0.8378106951713562</right_val></_></_>
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+</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 -->
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+            <right_val>0.8258674740791321</right_val></_></_></trees>
+      <stage_threshold>0.3506923019886017</stage_threshold>
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+      <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>
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+                <_>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 -->
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+              <tilted>0</tilted></feature>
+            <threshold>0.0120981102809310</threshold>
+            <left_val>-0.7181009054183960</left_val>
+            <right_val>0.4714100956916809</right_val></_></_>
+        <_>
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+            <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></_>
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+            <threshold>8.7510552257299423e-003</threshold>
+            <left_val>-0.8594707250595093</left_val>
+            <right_val>0.3688138127326965</right_val></_></_>
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+            <threshold>0.0219867005944252</threshold>
+            <left_val>-0.6018015146255493</left_val>
+            <right_val>0.3289783000946045</right_val></_></_>
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+      <stage_threshold>-1.6378560066223145</stage_threshold>
+      <parent>0</parent>
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diff --git a/cv-head-lock/xml/haarcascade_frontalface_default.xml b/cv-head-lock/xml/haarcascade_frontalface_default.xml
new file mode 100644
index 0000000..8dff079
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_frontalface_default.xml
@@ -0,0 +1,35712 @@
+<?xml version="1.0"?>
+<!--
+    Stump-based 24x24 discrete(?) 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_default type_id="opencv-haar-classifier">
+  <size>24 24</size>
+  <stages>
+    <_>
+      <!-- stage 0 -->
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+            <left_val>2.0875380039215088</left_val>
+            <right_val>-2.2172100543975830</right_val></_></_>
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+      <stage_threshold>-5.0425500869750977</stage_threshold>
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+            <threshold>-0.0221730004996061</threshold>
+            <left_val>0.4860099852085114</left_val>
+            <right_val>3.6160000599920750e-003</right_val></_></_></trees>
+      <stage_threshold>-2.9928278923034668</stage_threshold>
+      <parent>23</parent>
+      <next>-1</next></_></stages></haarcascade_frontalface_default>
+</opencv_storage>
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.
+-->
+<opencv_storage>
+<haarcascade_fullbody type_id="opencv-haar-classifier">
+  <size>14 28</size>
+  <stages>
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+            <threshold>-0.0558205693960190</threshold>
+            <left_val>0.5869792103767395</left_val>
+            <right_val>-0.6281142234802246</right_val></_></_>
+        <_>
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+            <threshold>-0.0388611815869808</threshold>
+            <left_val>-0.7091681957244873</left_val>
+            <right_val>0.2682121098041534</right_val></_></_>
+        <_>
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+            <left_val>0.8308296203613281</left_val>
+            <right_val>-0.2259958982467651</right_val></_></_>
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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 -->
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+              <rects>
+                <_>
+                  8 12 3 8 -1.</_>
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+                  8 16 3 4 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>0.0273259896785021</threshold>
+            <left_val>-0.9060062170028687</left_val>
+            <right_node>1</right_node></_>
+          <_>
+            <!-- node 1 -->
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+            <threshold>-7.0568458177149296e-03</threshold>
+            <left_val>0.9338570833206177</left_val>
+            <right_val>-0.4585995972156525</right_val></_></_>
+        <_>
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+            <left_val>0.7246372103691101</left_val>
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+            <left_val>0.5303416848182678</left_val>
+            <right_val>-0.8322122097015381</right_val></_></_>
+        <_>
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+            <left_val>0.6540889143943787</left_val>
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+            <left_val>0.3915700912475586</left_val>
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+            <threshold>-6.1182728968560696e-03</threshold>
+            <left_val>0.3020882904529572</left_val>
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+          <_>
+            <!-- node 1 -->
+            <feature>
+              <rects>
+                <_>
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+                <_>
+                  11 12 2 1 2.</_>
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+                  13 13 2 1 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>3.1565790995955467e-03</threshold>
+            <left_val>-0.1904578953981400</left_val>
+            <right_val>0.3021968901157379</right_val></_></_></trees>
+      <stage_threshold>-1.8088439702987671</stage_threshold>
+      <parent>18</parent>
+      <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.
+-->
+<opencv_storage>
+<haarcascade_lowerbody type_id="opencv-haar-classifier">
+  <size>19 23</size>
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+            <threshold>-0.0168698690831661</threshold>
+            <left_val>0.5465741753578186</left_val>
+            <right_val>-0.6367803812026978</right_val></_></_>
+        <_>
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+            <threshold>2.5349899660795927e-003</threshold>
+            <left_val>-0.3760549128055573</left_val>
+            <right_val>0.3237810134887695</right_val></_></_>
+        <_>
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+            <left_val>-0.6797912716865540</left_val>
+            <right_val>0.2050105929374695</right_val></_></_>
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+            <right_val>0.2068953067064285</right_val></_></_>
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+            <right_val>-0.3167718052864075</right_val></_></_>
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+            <!-- root node -->
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+            <threshold>0.0398915298283100</threshold>
+            <left_val>0.0372191295027733</left_val>
+            <right_val>-0.5569645166397095</right_val></_></_></trees>
+      <stage_threshold>-30.6646995544433590</stage_threshold>
+      <parent>25</parent>
+      <next>-1</next></_></stages></haarcascade_lowerbody>
+</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 -->
+      <trees>
+        <_>
+          <!-- tree 0 -->
+          <_>
+            <!-- root node -->
+            <feature>
+              <rects>
+                <_>
+                  7 3 30 3 -1.</_>
+                <_>
+                  17 3 10 3 3.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>0.1012997999787331</threshold>
+            <left_val>-0.7954636812210083</left_val>
+            <right_val>0.7811083793640137</right_val></_></_>
+        <_>
+          <!-- tree 1 -->
+          <_>
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+            <feature>
+              <rects>
+                <_>
+                  34 5 11 6 -1.</_>
+                <_>
+                  34 8 11 3 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>0.0312121100723743</threshold>
+            <left_val>-0.7282348275184631</left_val>
+            <right_val>0.6224442720413208</right_val></_></_>
+        <_>
+          <!-- tree 2 -->
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+              <rects>
+                <_>
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+            <threshold>-0.0549067892134190</threshold>
+            <left_val>0.6679443120956421</left_val>
+            <right_val>-0.6076071262359619</right_val></_></_>
+        <_>
+          <!-- tree 3 -->
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+              <tilted>0</tilted></feature>
+            <threshold>0.1310410946607590</threshold>
+            <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></_>
+    <_>
+      <!-- stage 1 -->
+      <trees>
+        <_>
+          <!-- tree 0 -->
+          <_>
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+            <feature>
+              <rects>
+                <_>
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+                  17 3 10 3 3.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>0.1507283002138138</threshold>
+            <left_val>-0.6390901207923889</left_val>
+            <right_val>0.8053625822067261</right_val></_></_>
+        <_>
+          <!-- tree 1 -->
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+                  34 8 11 3 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>0.0228874403983355</threshold>
+            <left_val>-0.7231366038322449</left_val>
+            <right_val>0.3992983996868134</right_val></_></_>
+        <_>
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+            <threshold>0.0276746600866318</threshold>
+            <left_val>-0.7064399719238281</left_val>
+            <right_val>0.4885388016700745</right_val></_></_>
+        <_>
+          <!-- tree 3 -->
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+            <left_val>-0.4218417108058929</left_val>
+            <right_val>0.5392153263092041</right_val></_></_>
+        <_>
+          <!-- tree 4 -->
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+              <tilted>0</tilted></feature>
+            <threshold>0.0369728282094002</threshold>
+            <left_val>-0.4240063130855560</left_val>
+            <right_val>0.5681108236312866</right_val></_></_>
+        <_>
+          <!-- tree 5 -->
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+            <left_val>0.4617055952548981</left_val>
+            <right_val>-0.4238983988761902</right_val></_></_></trees>
+      <stage_threshold>-1.4917520284652710</stage_threshold>
+      <parent>0</parent>
+      <next>-1</next></_>
+    <_>
+      <!-- stage 2 -->
+      <trees>
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+            <left_val>-0.6502287983894348</left_val>
+            <right_val>0.5993312001228333</right_val></_></_>
+        <_>
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+            <left_val>0.5193532109260559</left_val>
+            <right_val>-0.4416399896144867</right_val></_></_>
+        <_>
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+            <left_val>-0.6439520120620728</left_val>
+            <right_val>0.5154399871826172</right_val></_></_>
+        <_>
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+            <left_val>-0.3723556995391846</left_val>
+            <right_val>0.4822827875614166</right_val></_></_>
+        <_>
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+                <_>
+                  1 9 5 2 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>1.7132370267063379e-003</threshold>
+            <left_val>-0.6259062886238098</left_val>
+            <right_val>0.3193156123161316</right_val></_></_>
+        <_>
+          <!-- tree 5 -->
+          <_>
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+            <feature>
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+            <threshold>-0.1218293979763985</threshold>
+            <left_val>0.4427149891853333</left_val>
+            <right_val>-0.2849208116531372</right_val></_></_>
+        <_>
+          <!-- tree 6 -->
+          <_>
+            <!-- root node -->
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+              <tilted>0</tilted></feature>
+            <threshold>-0.0165680497884750</threshold>
+            <left_val>0.4386225938796997</left_val>
+            <right_val>-0.3060705065727234</right_val></_></_>
+        <_>
+          <!-- tree 7 -->
+          <_>
+            <!-- root node -->
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+                <_>
+                  22 2 4 9 3.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>-0.0805537775158882</threshold>
+            <left_val>0.6011540293693543</left_val>
+            <right_val>-0.0198485106229782</right_val></_></_>
+        <_>
+          <!-- tree 8 -->
+          <_>
+            <!-- root node -->
+            <feature>
+              <rects>
+                <_>
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+              <tilted>0</tilted></feature>
+            <threshold>-1.5256899641826749e-003</threshold>
+            <left_val>0.1910459995269775</left_val>
+            <right_val>-0.1074023991823196</right_val></_></_></trees>
+      <stage_threshold>-1.4498629570007324</stage_threshold>
+      <parent>17</parent>
+      <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>
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+      <!-- stage 0 -->
+      <trees>
+        <_>
+          <!-- tree 0 -->
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+            <feature>
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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></_></_>
+        <_>
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+              <tilted>0</tilted></feature>
+            <threshold>5.6097120977938175e-003</threshold>
+            <left_val>-0.7382487058639526</left_val>
+            <right_val>0.3885168135166168</right_val></_></_>
+        <_>
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+            <left_val>-0.5524439215660095</left_val>
+            <right_val>0.6428967118263245</right_val></_></_>
+        <_>
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+            <left_val>0.4628770947456360</left_val>
+            <right_val>-0.5341588854789734</right_val></_></_>
+        <_>
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+            <threshold>0.4064395129680634</threshold>
+            <left_val>0.0170928593724966</left_val>
+            <right_val>-4.6732509765625000e+003</right_val></_></_>
+        <_>
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+            <left_val>-0.4434844851493835</left_val>
+            <right_val>0.5070301294326782</right_val></_></_>
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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>
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+            <left_val>-0.6565846204757690</left_val>
+            <right_val>0.7222465276718140</right_val></_></_>
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+            <left_val>-0.6552636027336121</left_val>
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+        <_>
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+            <left_val>-0.7902024984359741</left_val>
+            <right_val>0.3444094955921173</right_val></_></_>
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+            <right_val>0.4882495105266571</right_val></_></_></trees>
+      <stage_threshold>-1.4015640020370483</stage_threshold>
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+                <_>
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+            <left_val>-0.6308009028434753</left_val>
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+            <left_val>-0.5955833792686462</left_val>
+            <right_val>0.4883106946945190</right_val></_></_>
+        <_>
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+              <tilted>1</tilted></feature>
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+            <left_val>0.4198729097843170</left_val>
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+            <left_val>-0.3186086118221283</left_val>
+            <right_val>0.4877224862575531</right_val></_></_>
+        <_>
+          <!-- tree 4 -->
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+            <left_val>-0.4086276888847351</left_val>
+            <right_val>0.3995149135589600</right_val></_></_>
+        <_>
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+      <stage_threshold>-1.4611779451370239</stage_threshold>
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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>
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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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+      <stage_threshold>-1.6897829771041870e+000</stage_threshold>
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+      <stage_threshold>-1.3411600589752197e+000</stage_threshold>
+      <parent>18</parent>
+      <next>-1</next></_></stages></classifier_LeftEarA_trainNew2011_12_20>
+</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">
+  <size>
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+            <right_val>-0.6734349727630615</right_val></_></_>
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+      <stage_threshold>-1.7205799818038940</stage_threshold>
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+            <left_val>-0.0407924205064774</left_val>
+            <right_val>0.1277489066123962</right_val></_></_></trees>
+      <stage_threshold>-1.4309279918670654</stage_threshold>
+      <parent>12</parent>
+      <next>-1</next></_></stages></ojoI>
+</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
+-->
+<opencv_storage>
+<Boca_17stages type_id="opencv-haar-classifier">
+  <size>
+    25 15</size>
+  <stages>
+    <_>
+      <!-- stage 0 -->
+      <trees>
+        <_>
+          <!-- tree 0 -->
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+            <!-- root node -->
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+                  0 3 14 3 3.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>-0.1192855015397072</threshold>
+            <left_val>0.7854182124137878</left_val>
+            <right_val>-0.4541360139846802</right_val></_></_>
+        <_>
+          <!-- tree 1 -->
+          <_>
+            <!-- root node -->
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+          <_>
+            <!-- root node -->
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+          <_>
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+              <tilted>0</tilted></feature>
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+          <_>
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+              <tilted>0</tilted></feature>
+            <threshold>5.4021849791752174e-005</threshold>
+            <left_val>-0.0602008998394012</left_val>
+            <right_val>0.0699716731905937</right_val></_></_></trees>
+      <stage_threshold>-1.2540320158004761</stage_threshold>
+      <parent>15</parent>
+      <next>-1</next></_></stages></Boca_17stages>
+</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
+-->
+<opencv_storage>
+<classifier_Nariz_20stages type_id="opencv-haar-classifier">
+  <size>
+    18 15</size>
+  <stages>
+    <_>
+      <!-- stage 0 -->
+      <trees>
+        <_>
+          <!-- tree 0 -->
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+            <!-- root node -->
+            <feature>
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+                  8 4 4 2 2.</_></rects>
+              <tilted>1</tilted></feature>
+            <threshold>0.0363217890262604</threshold>
+            <left_val>-0.6772649884223938</left_val>
+            <right_val>0.6687346100807190</right_val></_></_>
+        <_>
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+            <!-- root node -->
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+                  6 0 6 7 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>0.0544859282672405</threshold>
+            <left_val>-0.4403176903724670</left_val>
+            <right_val>0.4891850948333740</right_val></_></_>
+        <_>
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+            <threshold>-0.1508972942829132</threshold>
+            <left_val>0.6370239257812500</left_val>
+            <right_val>-0.2814675867557526</right_val></_></_>
+        <_>
+          <!-- tree 3 -->
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+            <threshold>-0.0794939175248146</threshold>
+            <left_val>0.6347042918205261</left_val>
+            <right_val>-0.1611918956041336</right_val></_></_>
+        <_>
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+            <threshold>-0.0670417398214340</threshold>
+            <left_val>0.5956599712371826</left_val>
+            <right_val>-0.1645421981811523</right_val></_></_>
+        <_>
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+            <right_val>0.2784962058067322</right_val></_></_>
+        <_>
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+        <_>
+          <!-- tree 8 -->
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+              <tilted>0</tilted></feature>
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+            <left_val>0.0736001133918762</left_val>
+            <right_val>-0.8135973811149597</right_val></_></_>
+        <_>
+          <!-- tree 9 -->
+          <_>
+            <!-- root node -->
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+            <left_val>-0.2522526085376740</left_val>
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+        <_>
+          <!-- tree 12 -->
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+            <left_val>0.4662343859672546</left_val>
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+        <_>
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+</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>
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+            <threshold>-1.2393590062856674e-001</threshold>
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+            <right_val>-6.7602032423019409e-001</right_val></_></_>
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+            <left_val>-6.9400407373905182e-002</left_val>
+            <right_val>3.5815268754959106e-001</right_val></_></_></trees>
+      <stage_threshold>-1.1971529722213745e+000</stage_threshold>
+      <parent>18</parent>
+      <next>-1</next></_></stages></classifier_RightEarA_trainNew2011_12_20>
+</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>
+<ojoD type_id="opencv-haar-classifier">
+  <size>
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+            <left_val>0.6987577080726624</left_val>
+            <right_val>-0.6865804791450501</right_val></_></_>
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+            <left_val>-0.3207955062389374</left_val>
+            <right_val>0.0108829103410244</right_val></_></_></trees>
+      <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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+      <trees>
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+            <left_val>-0.4920325875282288</left_val>
+            <right_val>0.3854399025440216</right_val></_></_>
+        <_>
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+            <threshold>3.1020329333841801e-004</threshold>
+            <left_val>-0.3749389052391052</left_val>
+            <right_val>0.2843770980834961</right_val></_></_>
+        <_>
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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>
+<haarcascade_profileface type_id="opencv-haar-classifier">
+  <size>20 20</size>
+  <stages>
+    <_>
+      <!-- stage 0 -->
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+            <right_val>0.7341383099555969</right_val></_></_>
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+      <stage_threshold>-1.4913179874420166</stage_threshold>
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+      <stage_threshold>-1.2739679813385010</stage_threshold>
+      <parent>24</parent>
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+</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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+            <left_node>1</left_node>
+            <right_val>-0.8614044785499573</right_val></_>
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+            <left_val>0.9176905751228333</left_val>
+            <right_val>-0.2128400951623917</right_val></_></_>
+        <_>
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+            <left_val>-0.1023664027452469</left_val>
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+              <tilted>0</tilted></feature>
+            <threshold>9.4975335523486137e-03</threshold>
+            <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>
+                <_>
+                  0 0 2 4 -1.</_>
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+                  0 2 2 2 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>-4.8783610691316426e-004</threshold>
+            <left_val>0.5921934843063355</left_val>
+            <right_val>-0.4416360855102539</right_val></_></_>
+        <_>
+          <!-- tree 1 -->
+          <_>
+            <!-- root node -->
+            <feature>
+              <rects>
+                <_>
+                  34 10 2 8 -1.</_>
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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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+              <tilted>0</tilted></feature>
+            <threshold>-4.9940118333324790e-004</threshold>
+            <left_val>0.4856331050395966</left_val>
+            <right_val>-0.4292306005954742</right_val></_></_>
+        <_>
+          <!-- tree 3 -->
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+            <threshold>0.0372891984879971</threshold>
+            <left_val>-0.2866730093955994</left_val>
+            <right_val>0.5997999906539917</right_val></_></_>
+        <_>
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+              <tilted>1</tilted></feature>
+            <threshold>1.4334049774333835e-003</threshold>
+            <left_val>-0.3489313125610352</left_val>
+            <right_val>0.4048275053501129</right_val></_></_>
+        <_>
+          <!-- tree 5 -->
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+            <left_val>0.7571418881416321</left_val>
+            <right_val>-0.1222594976425171</right_val></_></_>
+        <_>
+          <!-- tree 6 -->
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+            <left_val>-0.1665772050619125</left_val>
+            <right_val>0.7509614825248718</right_val></_></_>
+        <_>
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+            <threshold>-7.7238711528480053e-003</threshold>
+            <left_val>0.6266279220581055</left_val>
+            <right_val>-0.1912745982408524</right_val></_></_>
+        <_>
+          <!-- tree 8 -->
+          <_>
+            <!-- root node -->
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+            <left_val>-0.2394447028636932</left_val>
+            <right_val>0.4484061896800995</right_val></_></_>
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+            <left_val>-0.1843906939029694</left_val>
+            <right_val>0.0917824134230614</right_val></_></_>
+        <_>
+          <!-- 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>
+      <parent>-1</parent>
+      <next>-1</next></_>
+    <_>
+      <!-- stage 1 -->
+      <trees>
+        <_>
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+          <_>
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+            <left_val>-0.3327588140964508</left_val>
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+            <left_val>0.3635309040546417</left_val>
+            <right_val>-0.3204346895217896</right_val></_></_>
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+            <left_val>0.7135239243507385</left_val>
+            <right_val>-0.3518598973751068</right_val></_></_>
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+            <left_val>0.0681008473038673</left_val>
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+            <left_val>-0.1888543963432312</left_val>
+            <right_val>0.1695670038461685</right_val></_></_>
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+          <_>
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+            <left_val>0.0533591099083424</left_val>
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+            <threshold>0.2262602001428604</threshold>
+            <left_val>-0.0420460589230061</left_val>
+            <right_val>0.7791252136230469</right_val></_></_>
+        <_>
+          <!-- tree 46 -->
+          <_>
+            <!-- root node -->
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+              <rects>
+                <_>
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+              <tilted>0</tilted></feature>
+            <threshold>-0.0293774604797363</threshold>
+            <left_val>-0.5947058796882629</left_val>
+            <right_val>0.0548178702592850</right_val></_></_></trees>
+      <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.
+-->
+<opencv_storage>
+<haarcascade_upperbody type_id="opencv-haar-classifier">
+  <size>22 18</size>
+  <stages>
+    <_>
+      <!-- stage 0 -->
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+                <_>5 5 12 6 -1.</_>
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+              <tilted>0</tilted></feature>
+            <threshold>-0.0136960297822952</threshold>
+            <left_val>0.4507646858692169</left_val>
+            <right_val>-0.4217903017997742</right_val></_></_>
+        <_>
+          <!-- tree 1 -->
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+              <tilted>0</tilted></feature>
+            <threshold>0.0124414497986436</threshold>
+            <left_val>0.1649325042963028</left_val>
+            <right_val>-0.7479348778724670</right_val></_></_>
+        <_>
+          <!-- tree 2 -->
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+            <threshold>-2.7094660326838493e-003</threshold>
+            <left_val>0.3100470006465912</left_val>
+            <right_val>-0.3761714100837708</right_val></_></_>
+        <_>
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+            <threshold>-0.1000801026821137</threshold>
+            <left_val>0.7618219852447510</left_val>
+            <right_val>-0.0745569765567780</right_val></_></_>
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+            <threshold>-0.2511411905288696</threshold>
+            <left_val>-0.6415402889251709</left_val>
+            <right_val>0.1513922065496445</right_val></_></_>
+        <_>
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+            <threshold>-0.1051065027713776</threshold>
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-- 
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