The detection of multiple moving objects using fast level set method

A novel method for the detection of multiple moving objects is proposed in this paper. In order to get the detailed information of the objects, fast level set method which is only based on the evolution of single link list is mainly used to detect the boundaries of moving objects. The whole process consists of two main procedures: the coarse detection and the fine localization. During the coarse detection procedure, the velocity function is defined according to the modified Otsu method which is more effective to eliminate the split phenomena of the whole motion area and get the consecutive boundaries. As to the fine localization, improved region competition is applied to obtain the smooth and exact contours. The proposed method has been tested on several different video sequences, and the efficiency of the method has been verified.