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Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithms

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3 Author(s)
Deguchi, K. ; Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan ; Kawanaka, O. ; Okatani, T.

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 is 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.

Published in:

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on  (Volume:3 )

Date of Conference:

23-26 Aug. 2004