Paper
19 January 2006 Parallel multiple target tracking using multiple cooperative trackers
Author Affiliations +
Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60770V (2006) https://doi.org/10.1117/12.640764
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Qu, Dan Schonfeld, and Magdi Mohamed "Parallel multiple target tracking using multiple cooperative trackers", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770V (19 January 2006); https://doi.org/10.1117/12.640764
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Detection and tracking algorithms

Video

Visualization

Particle filters

Particles

Magnetism

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