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Proceedings Paper

Moving object detection using spatial coherence
Author(s): Kyungnam Kim
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Paper Abstract

Moving object detection from videos is one of important problems in intelligent video surveillance. Our goal is to extract moving foreground objects from the background of a scene captured from a stationary camera. We propose methods to improve a background subtraction (BGS) algorithm effectively using the spatial coherence of foreground regions - spatial filtering and region-based BGS. The proposed spatial filtering is based on the spatial coherence around the pixel neighborhood. In the region-based BGS, pixel deviation values (from the background model) are aggregated in a region for region-wise detection. We demonstrate the improved performance using the proposed methods on several indoor/outdoor video sequences.

Paper Details

Date Published: 2 September 2009
PDF: 8 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431V (2 September 2009); doi: 10.1117/12.826620
Show Author Affiliations
Kyungnam Kim, HRL Labs., LLC (United States)


Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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