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학술대회 Abnormal Detection based on User Feedback for Abstracted Pedestrian Video
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저자
신호철
발행일
201910
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1036-1038
DOI
https://dx.doi.org/10.1109/ICTC46691.2019.8939600
협약과제
19HS6300, 실외 무인 경비 로봇을 위한 멀티모달 지능형 정보분석 기술 개발, 신호철
초록
in this study, we present the abstracted pedestrian behavior representation and abnormal detection method based on user feedback for pedestrian video surveillance system. Video surveillance data is large in size and difficult to process in real time. To solve this problem, we suggested a method of expressing the pedestrian behavior with abbreviated map. In the video surveillance system, false detection of an abnormal situation becomes a big problem. If surveillance user can guide the false detection case as human in the loop, the surveillance system can learn the case and reduce the false detection error in the future. We suggested user feedback based abnormal pedestrian detection method. By the suggested user feedback algorithm, the false detection can be reduced to less than 0.5%.
키워드
Abnormal Detection, Pedestrian Behavior, Video Surveillance
KSP 제안 키워드
Abnormal situation, Behavior representation, Detection Method, False detection, Human-in-the-Loop, Real-Time, User feedback, Video surveillance system, abnormal detection, detection error, pedestrian behavior