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http://dx.doi.org/10.13089/JKIISC.2011.21.6.171

Loitering Behavior Detection Using Shadow Removal and Chromaticity Histogram Matching  

Park, Eun-Soo (School of Information and Communication Engineering, Inha University)
Lee, Hyung-Ho (School of Information and Communication Engineering, Inha University)
Yun, Myoung-Kyu (School of Information and Communication Engineering, Inha University)
Kim, Min-Gyu (School of Information and Communication Engineering, Inha University)
Kwak, Jong-Hoon (School of Information and Communication Engineering, Inha University)
Kim, Hak-Il (School of Information and Communication Engineering, Inha University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.21, no.6, 2011 , pp. 171-181 More about this Journal
Abstract
Proposed in this paper is the intelligent video surveillance system to effectively detect multiple loitering objects even that disappear from the out of camera's field of view and later return to a target zone. After the background and foreground are segmented using Gaussian mixture model and shadows are removed, the objects returning to the target zone is recognized using the chromaticity histogram and the duration of loitering is preserved. For more accurate measurement of the loitering behavior, the camera calibration is also applied to map the image plane to the real-world ground. Hence, the loitering behavior can be detected by considering the time duration of the object's existence in the real-world space. The experiment was performed using loitering video and all of the loitering behaviors are accurately detected.
Keywords
Loitering; Video surveillance; Shadow removal; Chromaticity histogram;
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Times Cited By KSCI : 1  (Citation Analysis)
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