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Proceedings Paper

Particle-filter-based object tracking with color and texture information fusion
Author(s): RuiQing Chen; ZhaoHui Zhang; HanQing Lu; HuiQing Cui; YuKun Yan
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Paper Abstract

In this paper, we investigate object tracking in video sequences and propose a particle filter based tracking algorithm with color and texture information fusion, in which the target model is jointly represented by spatial-weighted color histogram and LBP (Local Binary Patterns) texture histogram. The property of local grayscale or color invariance for LBP operator makes it more reliable to measure the spatial structure of local image texture. The system is less sensitive to illumination changes and partial occlusions, and can be able to track objects in diverse conditions. Experimental results demonstrate that the performance of the proposed method is more robust and accurate than the original color based method, especially when tracking objects with similar color appearance to the background and partial occlusions.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952F (30 October 2009); doi: 10.1117/12.834212
Show Author Affiliations
RuiQing Chen, Hebei Normal Univ. (China)
ZhaoHui Zhang, Hebei Normal Univ. (China)
Institute of Automation (China)
HanQing Lu, Institute of Automation (China)
HuiQing Cui, Hebei Normal Univ. (China)
YuKun Yan, Hebei Normal Univ. (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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