Video retrieval based on video motion tracks of moving objects

Motion track is an important feature to show the spatio-temporal relationship of a video object in a video. In this paper, we propose a novel motion track representation based on MPEG-7 motion descriptor. A new descriptor is proposed to represent the motion track in the X-Y plane and the trend of velocity changes. Moreover, a new similarity measure for comparing two motion tracks based on the motion trajectory and velocity differences is proposed. The trajectory is compared by the properties of the polynomials, and the velocity is compared by the different trends. Furthermore, the motion track segmentation method is proposed to handle a complicated motion behavior and the relevance feedback is used to improve the query results. Experiment results show that this approach has a higher precision than existing approaches.