文件列表:

ObjectDetection (0, 2010-06-08)
ObjectDetection\example (0, 2010-06-08)
ObjectDetection\example\campus-config.txt (1164, 2010-06-08)
ObjectDetection\example\crossing-config.txt (1164, 2010-06-08)
ObjectDetection\example\pedestrian.dat (4835047, 2009-10-24)
ObjectDetection\MSR-SSLA.txt (5910, 2009-07-17)
ObjectDetection\ObjectDetection (0, 2010-06-08)
ObjectDetection\ObjectDetection\DenseGreedyDetection (0, 2010-06-08)
ObjectDetection\ObjectDetection\DenseGreedyDetection\GreedyDetection.cpp (19797, 2010-06-08)
ObjectDetection\ObjectDetection\DenseGreedyDetection\GreedyDetection.h (4118, 2010-06-07)
ObjectDetection\ObjectDetection\Forests (0, 2010-06-08)
ObjectDetection\ObjectDetection\Forests\BoxTest.h (1582, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\HoughForest.cpp (10587, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\HoughForest.h (2324, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\HoughSample.h (191, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\HoughTree.cpp (2536, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\HoughTree.h (353, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\IHoughForest.cpp (29, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\IHoughForest.h (2911, 2010-06-08)
ObjectDetection\ObjectDetection\Forests\IHoughTree.cpp (0, 2009-08-18)
ObjectDetection\ObjectDetection\Forests\IHoughTree.h (5610, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\IVote.h (367, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\RandomTree.h (8063, 2010-06-08)
ObjectDetection\ObjectDetection\Forests\Vote.cpp (1919, 2010-06-07)
ObjectDetection\ObjectDetection\Forests\Vote.h (389, 2010-06-07)
ObjectDetection\ObjectDetection\ImageWrapper (0, 2010-06-08)
ObjectDetection\ObjectDetection\ImageWrapper\CRPatch.cpp (23159, 2010-06-07)
ObjectDetection\ObjectDetection\ImageWrapper\CRPatch.h (2172, 2010-06-07)
ObjectDetection\ObjectDetection\ImageWrapper\HoG.cpp (12264, 2010-06-07)
ObjectDetection\ObjectDetection\ImageWrapper\HoG.h (2379, 2010-06-07)
ObjectDetection\ObjectDetection\ImageWrapper\ImageUtils.h (10835, 2010-06-07)
ObjectDetection\ObjectDetection\ImageWrapper\MultiImage.h (5063, 2010-06-08)
ObjectDetection\ObjectDetection\ImageWrapper\MultiImageTools.cpp (3772, 2010-06-07)
ObjectDetection\ObjectDetection\ImageWrapper\MultiImageTools.h (342, 2010-06-07)
ObjectDetection\ObjectDetection\main_run_greedy_pedestrians.cpp (5963, 2010-06-08)
ObjectDetection\ObjectDetection\ObjectDetection (0, 2010-06-08)
ObjectDetection\ObjectDetection\ObjectDetection\ObjectDetection.sln (894, 2010-06-08)
ObjectDetection\ObjectDetection\ObjectDetection\ObjectDetection.vcproj (5928, 2010-06-08)
ObjectDetection\ObjectDetection\Utils (0, 2010-06-07)
ObjectDetection\ObjectDetection\Utils\dirent.h (7766, 2009-12-16)
... ...

// Author: Olga Barinova, Graphics&Media Lab., Vision Group, Moscow State University // Email: obarinova@graphics.cs.msu.ru // You may use, copy, reproduce, and distribute this Software for any // non-commercial purpose, subject to the restrictions of the // Microsoft Research Shared Source license agreement ("MSR-SSLA"). // Some purposes which can be non-commercial are teaching, academic // research, public demonstrations and personal experimentation. You // may also distribute this Software with books or other teaching // materials, or publish the Software on websites, that are intended // to teach the use of the Software for academic or other // non-commercial purposes. // You may not use or distribute this Software or any derivative works // in any form for commercial purposes. Examples of commercial // purposes would be running business operations, licensing, leasing, // or selling the Software, distributing the Software for use with // commercial products, using the Software in the creation or use of // commercial products or any other activity which purpose is to // procure a commercial gain to you or others. // If the Software includes source code or data, you may create // derivative works of such portions of the Software and distribute // the modified Software for non-commercial purposes, as provided // herein. // THE SOFTWARE COMES "AS IS", WITH NO WARRANTIES. THIS MEANS NO // EXPRESS, IMPLIED OR STATUTORY WARRANTY, INCLUDING WITHOUT // LIMITATION, WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A // PARTICULAR PURPOSE, ANY WARRANTY AGAINST INTERFERENCE WITH YOUR // ENJOYMENT OF THE SOFTWARE OR ANY WARRANTY OF TITLE OR // NON-INFRINGEMENT. THERE IS NO WARRANTY THAT THIS SOFTWARE WILL // FULFILL ANY OF YOUR PARTICULAR PURPOSES OR NEEDS. ALSO, YOU MUST // PASS THIS DISCLAIMER ON WHENEVER YOU DISTRIBUTE THE SOFTWARE OR // DERIVATIVE WORKS. // NEITHER MICROSOFT NOR ANY CONTRIBUTOR TO THE SOFTWARE WILL BE // LIABLE FOR ANY DAMAGES RELATED TO THE SOFTWARE OR THIS MSR-SSLA, // INCLUDING DIRECT, INDIRECT, SPECIAL, CONSEQUENTIAL OR INCIDENTAL // DAMAGES, TO THE MAXIMUM EXTENT THE LAW PERMITS, NO MATTER WHAT // LEGAL THEORY IT IS BASED ON. ALSO, YOU MUST PASS THIS LIMITATION OF // LIABILITY ON WHENEVER YOU DISTRIBUTE THE SOFTWARE OR DERIVATIVE // WORKS. // When using this software, please acknowledge the effort that // went into development by referencing the paper: // // Barinova O., Lempitsky V., Kohli P., On detection of multiple // object instances using Hough transform, IEEE Conference on Computer Vision and Pattern // Recognition (CVPR'10), 2010. // Note that this is not the original software that was used for // the paper mentioned above. It is a re-implementation. Microsoft Visual Studio 2005 solution is provided in folder 'ObjectDetection'. OpenCV needs to be installed. Usage: command.exe [config.txt] Subdirectory 'example' contains: campus-config.txt - example of config file to use with TUD-campus image dataset crossing-config.txt - example of config file to use with TUD-crossing image dataset pedestrian.dat - trained Hough Forests [1] classifier for pedestrian detection [1] Gall J. and Lempitsky V., Class-Specific Hough Forests for Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09), 2009. Olga Barinova Vision Group, Graphics & Media Lab., Moscow State University, 7 June 2010

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