Abnormal behavior detection method for video surveillance applications

In this paper, we propose novel method for abnormal behavior detection in the video surveillance. The method constructs a normal behavior model using training samples, which makes possible application in a wide range of conditions and scenes. The method was tested in controlled and real conditions. The result shows that the method can be used to detect abnormal behavior in simple and crowded scenes.