%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
mean shift (matlab)
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