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Proceedings Paper

Resource management in particle filtering for multiple object tracking
Author(s): Pan Pan; Dan Schonfeld
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Paper Abstract

This paper presents a novel particle allocation approach to particle filtering for multiple object tracking which minimizes the total tracking distortion given a fixed number of particles over a video sequence. Under the framework of distributed multiple object tracking, we propose the dynamic proposal variance and optimal particle number allocation algorithm for multi-object tracking to allocate particles among multiple targets as well as multiple frames. Experimental results show the superior performance of our proposed algorithm to traditional particle allocation methods, i.e. a fixed number of particles for each object in each frame. To the best of our knowledge, our approach is the first to provide an optimal allocation of a fixed number of particles among multiple objects and multiple frames.

Paper Details

Date Published: 28 January 2008
PDF: 8 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220E (28 January 2008); doi: 10.1117/12.766567
Show Author Affiliations
Pan Pan, Univ. of Illinois at Chicago (United States)
Dan Schonfeld, Univ. of Illinois at Chicago (United States)


Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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