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28 August 2001 Image sequence segmentation using curve evolution and improved background subtraction
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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.
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Weisong Liu and Jun Zhang "Image sequence segmentation using curve evolution and improved background subtraction", Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); https://doi.org/10.1117/12.438250
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