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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.
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (Volume:3 )
Date of Conference: 23-26 Aug. 2004