Method for Opposing Flow Abnormal Event Detection Based on Optical Flow
Yang Xiaokang · Video Engineering · 2011
In many public places,such as airport lobby and high way,pedestrians and vehicles are required to run in one way traffic lane in order to guarantee the order and public security in open environments.It will be very convenient and effective for administers to handle urgent suspicious events if the surveillance system can automatically detect abnormal video events.A novel method for detecting opposing flow abnormal event is proposed,where optical flow and spatial distribution are utilized to cluster feature points in the frame,the number of feature points belonging to opposing flow is calculated to finally determine if there is an abnormal event.The theoretical analysis and experimental results show that the proposed method can dramatically reduce the complexity,and as well improve detection accuracy.It is quite essential for a real-time intelligent surveillance system.