Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram

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	Similar Articles Articles by null Xinyu Xu Articles by null Baoxin Li

2005 IEEE International Conference on Multimedia and Expo

Amsterdam, Netherlands

July 06-July 06

ISBN: 0-7803-9331-7

	ASCII Text	x
	null Xinyu Xu, null Baoxin Li, "Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram," Multimedia and Expo, IEEE International Conference on, pp. 888-891, 2005 IEEE International Conference on Multimedia and Expo, 2005.

	BibTex	x
	@article{ 10.1109/ICME.2005.1521566, author = {null Xinyu Xu and null Baoxin Li}, title = {Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram}, journal ={Multimedia and Expo, IEEE International Conference on}, volume = {0}, year = {2005}, isbn = {0-7803-9331-7}, pages = {888-891}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521566}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multimedia and Expo, IEEE International Conference on TI - Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram SN - 0-7803-9331-7 SP888 EP891 A1 - null Xinyu Xu, A1 - null Baoxin Li, PY - 2005 KW - null VL - 0 JA - Multimedia and Expo, IEEE International Conference on ER -

null Xinyu Xu, Center for Cognitive Ubiquitous Computing Dept. of Computer Science & Engineering Arizona Statue University Tempe, AZ, U. S. A., xinyu.xu@asu.edu

null Baoxin Li

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521566

This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of the head is modeled as an ellipse, along which an intensity gradient is estimated, while the interior appearance is modeled using a color histogram. These two cues play complementary roles in tracking a human head with free rotation on a cluttered background. To evaluate the tracker performance, we test with both synthetic image sequences and real sequences. Experiments show that the tracker is robust to 360-degree rotation of the head on a cluttered background.

Citation:

null Xinyu Xu, null Baoxin Li, "Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram," icme, pp.888-891, 2005 IEEE International Conference on Multimedia and Expo, 2005

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