Sports Video Characterization Using Scene Dynamics

Dynamic changes of object positions provide an important clue for video characterization. In the present work, we exploit the dynamic information present over different frames of a sports video to characterize the change in the configuration of players across different frames. For scene dynamic characterization firstly location of players are detected by using motion based segmentation. We then construct a polygon with the players placed at the vertices of the polygon. Next the change in the shape of the polygon across different frames is computed in terms of the difference in the moments of the polygon shape. The difference is computed for seven moment invariants. The mean of these difference values, called mean-difference, is used as the key feature for characterizing the scene dynamics. An evolutionary learning based fuzzy rule based system is developed for characterizing sports sequences using duifference values.