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Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram
Amsterdam, Netherlands July 06-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2005.15215662005 IEEE International Conference on ...
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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
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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