Real-world trajectory extraction for attack pattern analysis in soccer video
Zhenxing Niu, Qi Chuan Tian, Xinbo Gao · 2010
Most existing approaches on tactic analysis of soccer video are based on mosaic trajectory analysis, which loses much semantic information comparing to the real-world trajectory. Without effective extraction of real-world trajectory, the tactic of soccer cannot be properly represented and analyzed from the perspective of soccer professionals. In this paper, a real-world trajectory extraction method is proposed. Moreover, six attack patterns are defined to represent tactic of soccer, and a novel attack pattern recognition algorithm is developed based on the analysis of the ball's state and real-world trajectory. To our best knowledge, this is the first work of its kind that systematically analyzes tactic of soccer based on real-world trajectory for broadcast soccer video. Our experiments demonstrate that the defined attack pattern can be effectively recognized.