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Journal of Electronic Imaging

Single-object-based segmentation and coding technique for video surveillance system
Author(s): Shih-Chang Hsia; Cheng Hung Hsiao; Chung-Ying Huang
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Paper Abstract

We present an adaptive object segmentation based on scene change detection techniques. First, the algorithm adaptively adjusts to skip the number of frames to cope with the amount of motion displacement to cover the entire object shape. Next, the spatial processing consists of noise removal and boundary smoothing techniques to discard background content as well as to remove the background noise, to obtain a segmented object. To evaluate the quality of segmentation, both of the standard benchmarks and camera imaging are employed. Results show that the proposed algorithm can achieve low error ratios under various standard sequence testing. The segmentation algorithm combines with MPEG-4 coding for camera imaging of video surveillance. This system can successfully demonstrate real-time video surveillance, as the frame rate is 10 to 30 using CPU-based software implementation.

Paper Details

Date Published: 1 July 2009
PDF: 10 pages
J. Electron. Imaging. 18(3) 033007 doi: 10.1117/1.3196780
Published in: Journal of Electronic Imaging Volume 18, Issue 3
Show Author Affiliations
Shih-Chang Hsia, National Kaohsiung First Univ. of Science and Technology (Taiwan)
Cheng Hung Hsiao, National Kaohsiung First Univ. of Science and Technology (Taiwan)
Chung-Ying Huang, National Kaohsiung First Univ. of Science and Technology (Taiwan)


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