A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding interesting pass patterns from soccer game records
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Trajectory Analysis for Soccer Players
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Structure and event mining in sports video with efficient mosaic
Multimedia Tools and Applications
Event tactic analysis based on broadcast sports video
IEEE Transactions on Multimedia
Non-goal scene analysis for soccer video
Neurocomputing
Tactic analysis based on real-world ball trajectory in soccer video
Pattern Recognition
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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.