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2 September 2009 Moving object detection using spatial coherence
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kyungnam Kim "Moving object detection using spatial coherence", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431V (2 September 2009);

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