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Proceedings Paper

Adaptive background model
Author(s): Xiaochun Lu; Yijun Xiao; Zhi Chai; Bangping Wang
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Paper Abstract

An adaptive background model aiming at outdoor vehicle detection is presented in this paper. This model is an improved model of PICA (pixel intensity classification algorithm), it classifies pixels into K-distributions by color similarity, and then a hypothesis that the background pixel color appears in image sequence with a high frequency is used to evaluate all the distributions to determine which presents the current background color. As experiments show, the model presented in this paper is a robust, adaptive and flexible model, which can deal with situations like camera motions, lighting changes and so on.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678651 (15 November 2007); doi: 10.1117/12.750992
Show Author Affiliations
Xiaochun Lu, Sichuan Univ. (China)
Yijun Xiao, Sichuan Univ. (China)
Zhi Chai, Sichuan Univ. (China)
Bangping Wang, Sichuan Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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