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학술대회 Rectified Trajectory Analysis Based Abnormal Loitering Detection for Video Surveillance
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저자
고종국, 유장희
발행일
201312
출처
International Conference on Artificial Intelligence, Modelling and Simulation (AIMS) 2013, pp.289-293
DOI
https://dx.doi.org/10.1109/AIMS.2013.53
협약과제
13VS1100, 사람에 의한 안전위협의 실시간 인지를 위한 능동형 영상보안 서비스용 원거리 (CCTV 주간환경 5m이상) 사람 식별 및 검색 원천기술 개발, 유장희
초록
Trajectory analysis for detection of abnormal loitering has attracted significant research interest in recent years. We present a new approach for abnormal loitering detection using trajectory analysis. Trajectory Direction History Analysis method is proposed to detect abnormal loitering and Inverse Perspective Mapping (IPM) is presented to resolve distortion of trajectory direction because of perspective effect. Proposed loitering detection method has shown good performance.
KSP 제안 키워드
Analysis method, Detection Method, New approach, Trajectory Analysis, inverse perspective mapping, loitering detection, perspective effect, video surveillance