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Proceedings Paper

Fusion of cues for occlusion handling in tracking with particle filters
Author(s): Xiaobo Chen; Xinting Pan; Wei Wang
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Paper Abstract

In this paper, a new approach is presented for tracking object accurately and steadily when the target encountering occlusion in video sequences. First, we use Canny algorithm to extract the edges of the object. The edge pixels are classified as foreground/background for each frame using background subtraction. On the next stage, a set of cues including a motion model, an elliptical shape model, a spatial-color mixture of Gaussians appearance model, and an edge orientation histogram model is fused in a principled manner. All these cues could be modeled by a data likelihood function; Then, a particle filter algorithm is used for tracking and the particles are re-sampled based on the fusion of the cues. Result form simulations and experiments with real video sequences show the effectiveness of our approach for tracking people under occlusion conditions.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749514 (30 October 2009); doi: 10.1117/12.832478
Show Author Affiliations
Xiaobo Chen, Beijing Univ. of Posts and Telecommunications (China)
Xinting Pan, Beijing Univ. of Posts and Telecommunications (China)
Wei Wang, Beijing Univ. of Posts and Telecommunications (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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