Articulated body tracking by immune particle filter

Authors:
Zhaohui Gan;Min Jiang
Affiliations:
School of Information Science and Technology, Wuhan University of Science and Technology, Wuhan, China;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

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Abstract

The tracking of articulated body in images sequences is a challenging problem due to complexity and high dimensionality of the configuration space. In this paper, we propose a new algorithm to combine Artificial Immune and particle filter for articulated body motion tracking, fusing the strengths of both approaches. Compared with previous optimization based particle filter, our method overcomes the disadvantages of inefficiency by incorporating artificial immune algorithm into particle filter. Evaluations on MOCAP dataset show that immune particle filter algorithm performs better than anneal particle filter.