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An EM-Like Algorithm for Color-Histogram-Based Object Tracking
Washington, D.C., USA June 27-July 02
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.322004 IEEE Computer Society Conference ...
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Zoran Zivkovic, Ben Kröse, "An EM-Like Algorithm for Color-Histogram-Based Object Tracking," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 798-803, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/CVPR.2004.32,
author = {Zoran Zivkovic and Ben Kröse},
title = {An EM-Like Algorithm for Color-Histogram-Based Object Tracking},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2004},
issn = {1063-6919},
pages = {798-803},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.32},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - An EM-Like Algorithm for Color-Histogram-Based Object Tracking
SN - 1063-6919
SP798
EP803
A1 - Zoran Zivkovic,
A1 - Ben Kröse,
PY - 2004
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Zoran Zivkovic, University of Amsterdam
Ben Kröse, University of Amsterdam
The iterative procedure called ?mean-shift? is a simple robust method for finding the position of a local mode (local maximum) of a kernel-based estimate of a density function. A new robust algorithm is given here that presents a natural extension of the ?mean-shift? procedure. The new algorithm simultaneously estimates the position of the local mode and the covariance matrix that describes the approximate shape of the local mode. We apply the new method to develop a new 5-degrees of freedom (DOF) color histogram based non-rigid object tracking algorithm.
Citation:
Zoran Zivkovic, Ben Kröse, "An EM-Like Algorithm for Color-Histogram-Based Object Tracking," cvpr, vol. 1, pp.798-803, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004
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