Multi-agent strategic modeling in a robotic soccer domain
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
Event tactic analysis based on player and ball trajectory in broadcast video
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Event tactic analysis based on broadcast sports video
IEEE Transactions on Multimedia
Real-world trajectory extraction for attack pattern analysis in soccer video
Proceedings of the international conference on Multimedia
Strategy diagram for identifying play strategies in multi-view soccer video data
DS'06 Proceedings of the 9th international conference on Discovery Science
Tactic analysis based on real-world ball trajectory in soccer video
Pattern Recognition
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This paper presents a novel method for finding interesting pass patterns from soccer game records. Taking two features of the pass sequence "temporal irregularity and requirements for multiscale observation" into account, we have developed a comparison method of the sequences based on multiscale matching. The method can be used with hierarchical clustering, that brings us a new style of data mining in sports data. Experimental results on 64 game records of FIFA world cup 2002 demonstrated that the method could discover some interesting pass patterns that may be associated with successful goals.