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Proceedings Paper

Image sequence segmentation using curve evolution and improved background subtraction
Author(s): Weisong Liu; Jun Zhang
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Paper Abstract

In this paper, we describe a novel approach to image sequence segmentation. In this approach, the presence of moving objects is first detected through background subtraction, i.e., the difference between the current frame and a dynamically updated background. Then, moving objects are extracted from the background subtraction image. Experimental results on surveillance image sequences demonstrated the efficacy of the proposed approach and its improvements over previous background subtraction techniques.

Paper Details

Date Published: 28 August 2001
PDF: 12 pages
Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); doi: 10.1117/12.438250
Show Author Affiliations
Weisong Liu, Univ. of Wisconsin/Milwaukee (United States)
Jun Zhang, Univ. of Wisconsin/Milwaukee (United States)


Published in SPIE Proceedings Vol. 4388:
Visual Information Processing X
Stephen K. Park; Zia-ur Rahman; Robert A. Schowengerdt, Editor(s)

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