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author | Yves Fischer <yvesf-git@xapek.org> | 2015-03-21 23:32:10 +0100 |
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committer | Yves Fischer <yvesf-git@xapek.org> | 2015-03-21 23:32:10 +0100 |
commit | 3d1048d79ad09d156836ff22edb9909d038fce87 (patch) | |
tree | dd9cd035f3e3537e2404208bf101be6bdbdfa865 /cv-head-lock/xml/haarcascade_lowerbody.xml | |
parent | fdd4c6267e683ec107f3df43f02140f0ac01d63f (diff) | |
download | scripts-3d1048d79ad09d156836ff22edb9909d038fce87.tar.gz scripts-3d1048d79ad09d156836ff22edb9909d038fce87.zip |
notifications
Diffstat (limited to 'cv-head-lock/xml/haarcascade_lowerbody.xml')
-rw-r--r-- | cv-head-lock/xml/haarcascade_lowerbody.xml | 15085 |
1 files changed, 15085 insertions, 0 deletions
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> + <stages> + <_> + <!-- stage 0 --> + <trees> + <_> + <!-- tree 0 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>3 4 12 16 -1.</_> + <_>7 4 4 16 3.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.0168698690831661</threshold> + <left_val>0.5465741753578186</left_val> + <right_val>-0.6367803812026978</right_val></_></_> + <_> + <!-- tree 1 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>11 0 2 20 -1.</_> + <_>11 10 2 10 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>2.5349899660795927e-003</threshold> + <left_val>-0.3760549128055573</left_val> + <right_val>0.3237810134887695</right_val></_></_> + <_> + <!-- tree 2 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>4 1 4 22 -1.</_> + <_>4 12 4 11 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.0247094593942165</threshold> + <left_val>-0.6797912716865540</left_val> + <right_val>0.2050105929374695</right_val></_></_> + <_> + <!-- tree 3 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>9 8 7 12 -1.</_> + <_>9 14 7 6 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0824368596076965</threshold> + <left_val>0.2058863937854767</left_val> + <right_val>-0.8493843078613281</right_val></_></_> + <_> + <!-- tree 4 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>6 0 6 10 -1.</_> + <_>6 0 3 5 2.</_> + <_>9 5 3 5 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>-8.2128931535407901e-004</threshold> + <left_val>0.3189192116260529</left_val> + <right_val>-0.4646945893764496</right_val></_></_> + <_> + <!-- tree 5 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>1 18 18 5 -1.</_> + <_>1 18 9 5 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0230169594287872</threshold> + <left_val>0.1867029964923859</left_val> + <right_val>-0.7033089995384216</right_val></_></_> + <_> + <!-- tree 6 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>4 20 10 3 -1.</_> + <_>9 20 5 3 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>6.6386149264872074e-003</threshold> + <left_val>0.1637049019336700</left_val> + <right_val>-0.8460472226142883</right_val></_></_> + <_> + <!-- tree 7 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>6 17 10 6 -1.</_> + <_>6 20 10 3 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>7.6682120561599731e-004</threshold> + <left_val>-0.3985269069671631</left_val> + <right_val>0.2311332970857620</right_val></_></_> + <_> + <!-- tree 8 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>0 0 4 20 -1.</_> + <_>0 10 4 10 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.1173167973756790</threshold> + <left_val>0.1044503971934319</left_val> + <right_val>-0.8851094245910645</right_val></_></_> + <_> + <!-- tree 9 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>3 0 16 14 -1.</_> + <_>3 7 16 7 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0154212303459644</threshold> + <left_val>-0.2785950899124146</left_val> + <right_val>0.2892192006111145</right_val></_></_> + <_> + <!-- tree 10 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>5 1 4 13 -1.</_> + <_>7 1 2 13 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0340189486742020</threshold> + <left_val>-0.1428766995668411</left_val> + <right_val>0.7780153155326843</right_val></_></_> + <_> + <!-- tree 11 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>1 8 18 12 -1.</_> + <_>10 8 9 6 2.</_> + <_>1 14 9 6 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0346388705074787</threshold> + <left_val>0.1864407956600189</left_val> + <right_val>-0.6032484173774719</right_val></_></_> + <_> + <!-- tree 12 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>2 0 15 21 -1.</_> + <_>7 0 5 21 3.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.3750365972518921</threshold> + <left_val>0.9278184175491333</left_val> + <right_val>-0.1542160063982010</right_val></_></_> + <_> + <!-- tree 13 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>1 5 18 18 -1.</_> + <_>10 5 9 9 2.</_> + <_>1 14 9 9 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.0560119710862637</threshold> + <left_val>-0.5859106779098511</left_val> + <right_val>0.1954751014709473</right_val></_></_> + <_> + <!-- tree 14 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>2 19 15 3 -1.</_> + <_>7 19 5 3 3.</_></rects> + <tilted>0</tilted></feature> + <threshold>-1.4878909569233656e-003</threshold> + <left_val>0.2813934981822968</left_val> + <right_val>-0.4185301065444946</right_val></_></_> + <_> + <!-- tree 15 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>7 20 12 3 -1.</_> + <_>7 20 6 3 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.0144956996664405</threshold> + <left_val>-0.7227396965026856</left_val> + <right_val>0.0942884609103203</right_val></_></_> + <_> + <!-- tree 16 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>1 21 14 2 -1.</_> + <_>8 21 7 2 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>-5.6178281083703041e-003</threshold> + <left_val>-0.5955196022987366</left_val> + <right_val>0.1520265042781830</right_val></_></_></trees> + <stage_threshold>-1.4308550357818604</stage_threshold> + <parent>-1</parent> + <next>-1</next></_> + <_> + <!-- stage 1 --> + <trees> + <_> + <!-- tree 0 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>0 16 18 6 -1.</_> + <_>6 16 6 6 3.</_></rects> + <tilted>0</tilted></feature> + <threshold>-3.1839120201766491e-003</threshold> + <left_val>0.4002513885498047</left_val> + <right_val>-0.6847316026687622</right_val></_></_> + <_> + <!-- tree 1 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>8 3 4 20 -1.</_> + <_>8 13 4 10 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>3.5989920143038034e-003</threshold> + <left_val>-0.5189595222473145</left_val> + <right_val>0.3010114133358002</right_val></_></_> + <_> + <!-- tree 2 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>0 19 18 3 -1.</_> + <_>9 19 9 3 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0188046302646399</threshold> + <left_val>0.1555491983890533</left_val> + <right_val>-0.8047717213630676</right_val></_></_> + <_> + <!-- tree 3 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>5 21 14 2 -1.</_> + <_>5 21 7 2 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>5.2497140131890774e-003</threshold> + <left_val>0.1378080993890762</left_val> + <right_val>-0.6076750755310059</right_val></_></_> + <_> + <!-- tree 4 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>2 0 9 5 -1.</_> + <_>5 0 3 5 3.</_></rects> + <tilted>0</tilted></feature> + <threshold>-1.4204799663275480e-003</threshold> + <left_val>0.3231942951679230</left_val> + <right_val>-0.4340746104717255</right_val></_></_> + <_> + <!-- tree 5 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>3 20 15 3 -1.</_> + <_>8 20 5 3 3.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.0251743495464325</threshold> + <left_val>-0.7078087925910950</left_val> + <right_val>0.0931063294410706</right_val></_></_> + <_> + <!-- tree 6 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>3 9 6 14 -1.</_> + <_>5 9 2 14 3.</_></rects> + <tilted>0</tilted></feature> + <threshold>3.2285219058394432e-003</threshold> + <left_val>-0.3251047134399414</left_val> + 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+ <feature> + <rects> + <_>0 7 6 10 -1.</_> + <_>0 7 3 5 2.</_> + <_>3 12 3 5 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0133490199223161</threshold> + <left_val>0.1305782943964005</left_val> + <right_val>-0.6980267167091370</right_val></_></_> + <_> + <!-- tree 11 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>10 6 4 13 -1.</_> + <_>10 6 2 13 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.0351814515888691</threshold> + <left_val>0.4653536081314087</left_val> + <right_val>-0.1069877967238426</right_val></_></_> + <_> + <!-- tree 12 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>5 6 4 13 -1.</_> + <_>7 6 2 13 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>0.0318745896220207</threshold> + <left_val>-0.1356538981199265</left_val> + <right_val>0.7904788851737976</right_val></_></_></trees> + <stage_threshold>-1.1907930374145508</stage_threshold> + <parent>0</parent> + <next>-1</next></_> + <_> + <!-- stage 2 --> + <trees> + <_> + <!-- tree 0 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>8 2 6 8 -1.</_> + <_>8 2 6 4 2.</_></rects> + <tilted>1</tilted></feature> + <threshold>-0.0106474300846457</threshold> + <left_val>0.3807902932167053</left_val> + <right_val>-0.5867233872413635</right_val></_></_> + <_> + <!-- tree 1 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>0 11 19 12 -1.</_> + <_>0 17 19 6 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>-0.0732144936919212</threshold> + <left_val>-0.7955095171928406</left_val> + <right_val>0.1722325980663300</right_val></_></_> + <_> + <!-- tree 2 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>0 18 6 5 -1.</_> + <_>3 18 3 5 2.</_></rects> + <tilted>0</tilted></feature> + <threshold>6.0464427806437016e-003</threshold> + <left_val>0.1653216034173966</left_val> + <right_val>-0.6937664747238159</right_val></_></_> + <_> + <!-- tree 3 --> + <_> + <!-- root node --> + <feature> + <rects> + <_>9 17 9 6 -1.</_> + <_>12 17 3 6 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