Mean Shift跟踪算法用matlab实现 .zip

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % PROJECT: % Mean Shift in Gray Scale % % BY: % Parthipan Siva % Assignment for SD 770-7: Topics in Particle Filtering % Systems Design Engineering % University of Waterloo % % DATE/Version: % Jan. 2007 - V 1.0 % % Description: % The provided code constitues the Mean Shift tracking algorithm as % implemented in Matlab. Run the Example1.m filte to see the algorithm % work on the sample video provided from the PETS 2004 dataset. % NOTE: This is by no means an optimal implementaion, there are many % redundent calculations that can be eliminated. % % References: % D. Comaniciu, V. Ramesh, P. Meer: Real-Time Tracking of Non-Rigid % Objects using Mean Shift, IEEE Conf. Computer Vision and Pattern % Recognition (CVPR'00), Hilton Head Island, South Carolina, Vol. 2, % 142-149, 2000 % % Project file list: % getModel.m % getPointsInEllipse.m % probProfile.m % kernalProfile.m % getPointsInEllipseBorder.m % binNum.m % meanShift.m % getWeights.m % meerTrack.m % walk1.m % getScaleChange.m % Example1.m % % Required Library/Code % To run the walk1.m file (needed when running Example1.m) the mmread % functions by Micah Richert is need. The mmread and associated files, % used to read video and audio files, can be obtained from MathWorks % file exchange. % http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=8028&objectType=file %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%