A method of target detection and tracking in video surveillance

Multi-target detection and tracking are the two key issues of video surveillance. This paper presents the methods to solve the two problems. Firstly, a moving object detection algorithm based on background modeling is given, which can effectively deal with the background disturbance and illumination changes. Then, a multi-targets tracking algorithm based on particle filter is described. Some special problems in multi-targets tracking include computational complexity, new target entry, target exit and occlusion are also discussed. Experiment results show that presented method is effective.