关键词: 异常检测, 形态特征, 运动分割, 视频监控

Abstract: Automatic recognition of human behavior is an important but difficult problem in the area of computer vision. In this paper, a novel approach is introduced to handle the problem. Human body is detected using the contour information and the posture features are extracted by the contour fitting. A behavior classifier based on the normal behavior template is established to determine whether a human behavior is normal or not. Experimental results show that this system can run in real-time for the detection of abnormal behaviors with limited information and produce robust results by making full use of posture features information.

Key words: anomaly detection, posture feature, motion segmentation, video surveillance