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README.txt
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// Author: Olga Barinova, Graphics&Media Lab., Vision Group, Moscow State University
// Email: [email protected]
// 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