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Proceedings Paper

Parallel multiple target tracking using multiple cooperative trackers
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Paper Abstract

In this paper, we present a parallel multiple target tracking framework using multiple cooperative trackers. The multiple target occlusion problem is handled by modeling the interaction among different targets' observations and solving the data association through a recursive estimation. The computational complexity of the proposed approach increases linearly with the number of targets which yields a much faster implementation than existing multiple target tracking algorithms. Experimental results have been demonstrated on real-world videos.

Paper Details

Date Published: 19 January 2006
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770V (19 January 2006); doi: 10.1117/12.640764
Show Author Affiliations
Wei Qu, Univ. of Illinois (United States)
Dan Schonfeld, Univ. of Illinois (United States)
Magdi Mohamed, Motorola Labs (United States)


Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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