Tracking of Players from Soccer Video Sequences
Hua Li · Acta Simulata Systematica Sinica · 2001
Segmenting and tracking are a hot problem in video processing. For the application of soccer video, this paper presents a method to implement quick segmentation and tracking of players from a soccer video. Players are segmented by the use of the statistics of color components differences; Correlation of two normalized color histograms is used to identify the team that a player belongs to; To track the players, this method has used the context features and correlated-template matching. Experiment results show that this method deals well with occlusion of two players belonging to different teams, and can track when multiple players are in occlusion. The method can track robustly when the players?shape changes greatly.