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Conference Paper Rectified Trajectory Analysis Based Abnormal Loitering Detection for Video Surveillance
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Authors
Jong-Gook Ko, Jang-Hee Yoo
Issue Date
2013-12
Citation
International Conference on Artificial Intelligence, Modelling and Simulation (AIMS) 2013, pp.289-293
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/AIMS.2013.53
Abstract
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 Keywords
Analysis method, Detection Method, Inverse perspective mapping, New approach, Trajectory Analysis, loitering detection, perspective effect, video surveillance