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Proceedings Paper

Automatic video object segmentation and shadow detection for surveillance applications
Author(s): Hao Yang; Like Zhang; Heng-Ming Tai; Chia-Jiu Wang
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Paper Abstract

This paper presents an object-based adaptive background update algorithm that is suitable for video surveillance in the dynamically changing environment. The background model is updated using information from not only the pixel change but also the currently detected object. The proposed method is able to deal with such problems as ghost and uncovered background. In addition, a shadow detection scheme is proposed to eliminate the shadow effect. Experimental results for three video sequences with different background situations are given to demonstrate the effectiveness of the proposed algorithm.

Paper Details

Date Published: 2 November 2004
PDF: 8 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.557448
Show Author Affiliations
Hao Yang, Chongqing Univ. (China)
Like Zhang, Univ. of Tulsa (United States)
Heng-Ming Tai, Univ. of Tulsa (United States)
Chia-Jiu Wang, Univ. of Colorado/Colorado Springs (United States)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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