Loitering Behavior Detection Using Shadow Removal and Chromaticity Histogram Matching
Eunsoo H Park, Hyung Ho Lee, Myoung-Kyu Yun, Min-Gyu Kim, Jong-Hoon Kwak, Hakil Kim · Information Security and Cryptology · 2011
ABSTRACT Proposed in this paper is the intelligent video surveillance sy stem 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 ima ge 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 h istogram접수일(2011년 10월 5일), 게재확정일(2011년 12월 4일)* 본 논문은 지식경제부 산업융합원천기술개발사업 (10039149)으로 지원된 연구결과입니다.†주저자, [email protected]‡교신저자, [email protected]