A Trajectory-Based Point Tracker Using Chaos Evolutionary Programming

Authors:
Shu-Mei Guo;Chih-Yuan Hsu;Po-Nung Wu;Jason Sheng-Hong Tsai
Affiliations:
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C. 701;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C. 701;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C. 701;Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C. 701
Venue:
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Year:
2009

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Abstract

A trajectory-based point tracker using chaos evolutionary programming (CEP) algorithm is proposed in this paper. While motion constraints such as rigidity and small motion which are imposed by previous approaches are liberated, the proposed CEP is proved to be effective for establishing point correspondence between two consecutive frames sampled at a fixed interval. The whole point trajectory within the sample interval is then reconstructed by polynomial interpolation. Our experimental results demonstrate that the proposed point tracker can accurately locate target under different kinds of situations like object deformation, occlusion, and sudden motion as well.