A New Method of Object Segmentation in the Basketball Videos

Object segmentation is one of key issues in object based video analysis and retrieval. In this paper, a basketball segmentation algorithm is proposed. The algorithms involve a hierarchical basketball detection algorithm and a motion tracking algorithm based on adaptive object model. Basketball detection algorithm is started firstly, only when a basketball is detected, the tracking algorithm is started in the next frame. Moreover, there is a tracking result evaluation module in motion tracking algorithm, if it is true, the tracking algorithm is used in the next frame, otherwise, the detection module is started again. The experimental results from real basketball video confirm the efficiency of the proposed algorithms