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Single-object-based segmentation and coding technique for video surveillance system

[+] Author Affiliations
Shih-Chang Hsia

National Kaohsiung First University of Science and Technology, Department of Electronics Engineering and Department of Computer and Communication Engineering, Yuanchau, Kaohsiung 824, Taiwan

Cheng Hung Hsiao

National Kaohsiung First University of Science and Technology, Department of Computer and Communication Engineering, Yuanchau, Kaohsiung 824, Taiwan

Chung-Ying Huang

National Kaohsiung First University of Science and Technology, Department of Computer and Communication Engineering, Yuanchau, Kaohsiung 824, Taiwan

J. Electron. Imaging. 18(3), 033007 (August 11, 2009). doi:10.1117/1.3196780
History: Received August 25, 2008; Revised June 18, 2009; Accepted June 19, 2009; Published August 11, 2009
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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.

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© 2009 SPIE and IS&T

Citation

Shih-Chang Hsia ; Cheng Hung Hsiao and Chung-Ying Huang
"Single-object-based segmentation and coding technique for video surveillance system", J. Electron. Imaging. 18(3), 033007 (August 11, 2009). ; http://dx.doi.org/10.1117/1.3196780


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