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authorYves Fischer <yvesf-git@xapek.org>2015-03-21 23:32:10 +0100
committerYves Fischer <yvesf-git@xapek.org>2015-03-21 23:32:10 +0100
commit3d1048d79ad09d156836ff22edb9909d038fce87 (patch)
treedd9cd035f3e3537e2404208bf101be6bdbdfa865 /cv-head-lock/xml/haarcascade_mcs_upperbody.xml
parentfdd4c6267e683ec107f3df43f02140f0ac01d63f (diff)
downloadscripts-3d1048d79ad09d156836ff22edb9909d038fce87.tar.gz
scripts-3d1048d79ad09d156836ff22edb9909d038fce87.zip
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@@ -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>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 8 4 6 4 -1.</_>
+ <_>
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+ <tilted>0</tilted></feature>
+ <threshold>1.2492679525166750e-003</threshold>
+ <left_val>-0.4920325875282288</left_val>
+ <right_val>0.3854399025440216</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 8 6 6 4 -1.</_>
+ <_>
+ 8 7 6 2 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>3.1020329333841801e-004</threshold>
+ <left_val>-0.3749389052391052</left_val>
+ <right_val>0.2843770980834961</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 5 4 12 7 -1.</_>
+ <_>
+ 8 4 6 7 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0963153466582298</threshold>
+ <left_val>-0.1161305010318756</left_val>
+ <right_val>0.7296751141548157</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ <_>
+ 7 1 8 8 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0253816507756710</threshold>
+ <left_val>0.3430817127227783</left_val>
+ <right_val>-0.2171147018671036</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
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+ 8 5 2 2 -1.</_>
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+ <threshold>-3.3788379369070753e-005</threshold>
+ <left_val>0.2308478057384491</left_val>
+ <right_val>-0.2142890989780426</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
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+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ <tilted>0</tilted></feature>
+ <threshold>-9.9204434081912041e-003</threshold>
+ <left_val>-0.5459647774696350</left_val>
+ <right_val>0.1485244929790497</right_val></_></_>
+ <_>
+ <!-- tree 6 -->
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+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>0.3743768036365509</threshold>
+ <left_val>-0.0556398294866085</left_val>
+ <right_val>-3.8648000488281250e+003</right_val></_></_>
+ <_>
+ <!-- tree 7 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ <tilted>0</tilted></feature>
+ <threshold>0.1577703058719635</threshold>
+ <left_val>-0.0836010500788689</left_val>
+ <right_val>0.6361330747604370</right_val></_></_>
+ <_>
+ <!-- tree 8 -->
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+ <!-- root node -->
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+ <rects>
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+ <threshold>-8.6156948236748576e-004</threshold>
+ <left_val>-0.4247361123561859</left_val>
+ <right_val>0.1151752024888992</right_val></_></_>
+ <_>
+ <!-- tree 9 -->
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+ <!-- root node -->
+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>1.4470949536189437e-003</threshold>
+ <left_val>0.0880990624427795</left_val>
+ <right_val>-0.3370375037193298</right_val></_></_>
+ <_>
+ <!-- tree 10 -->
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+ <tilted>0</tilted></feature>
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+ <left_val>0.1464686989784241</left_val>
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+ <_>
+ <!-- tree 11 -->
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+ <_>
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+ <threshold>1.4062010450288653e-005</threshold>
+ <left_val>-0.1764784008264542</left_val>
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+ <!-- tree 13 -->
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+ <left_val>0.1130303964018822</left_val>
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+ <_>
+ <!-- tree 14 -->
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+ <left_val>0.1678117066621780</left_val>
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+ <_>
+ <!-- tree 15 -->
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+ <left_val>0.0470854490995407</left_val>
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+ <_>
+ <!-- tree 16 -->
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+ <left_val>-0.4445956945419312</left_val>
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+ <_>
+ <!-- tree 17 -->
+ <_>
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+ <feature>
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