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Type: Conference paper
Title: Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues
Author: Wang, H.
Suter, D.
Citation: 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006: pp.892-895
Publisher: IEEE
Publisher Place: Online
Issue Date: 2006
Series/Report no.: International Conference on Pattern Recognition
ISBN: 0769525210
ISSN: 1051-4651
Conference Name: International Conference on Pattern Recognition (18th : 2006 : Hong Kong)
Editor: Tang, Y.Y.
Wang, S.P.
Lorette, G.
Yeung, D.S.
Yan, H.
Statement of
Hanzi Wang and David Suter
Abstract: It has been shown that integrating multiple cues will increase the reliability and robustness of a vision system in situations that no single cue is reliable. In this paper, we propose a method by fusing multiple cues (i.e., the color cue and the edge cue). In contrast to previous work, we propose a novel shape similarity measure which includes the spatial distribution of the number of and the gradient intensity of the edge points. We integrate this shape similarity measure with our recently proposed SMOG-based color similarity measure in the framework of particle filter (PF). Experimental results demonstrate the high robustness and effectiveness of our method in handling appearance changes, cluttered background, moving camera, and occlusions.
DOI: 10.1109/ICPR.2006.486
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Appears in Collections:Aurora harvest
Computer Science publications

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