Object Tracking by the Mean-Shift of Regional Color Distribution Combined with the Particle-Filter Algorithm

Authors:
Koichiro Deguchi;Oki Kawanaka;Takayuki Okatani
Affiliations:
Tohoku University, Japan;Tohoku University, Japan;Tohoku University, Japan
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Year:
2004

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Abstract

This paper presents a method for tracking a person in a video sequence in real time. In this method the profile of color distribution characterises target's feature. It is invariant for rotation and scale changes. It's also robust to non-rigidity and partial occlusion of the target. We employ the mean-shift algorithm to track the target and to reduce the computational cost. Moreover, we incorporate the particle-filter into it to cope with a temporal occlusion of the target, and largely reduce the computational cost of the original particle-filter. Experiments show the availability of this method.