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
A novel multimedia data mining framework for information extraction of a soccer video stream
Intelligent Data Analysis
Real-time monitoring of water quality using temporal trajectory of live fish
Expert Systems with Applications: An International Journal
A review of vision-based systems for soccer video analysis
Pattern Recognition
Real-world trajectory extraction for attack pattern analysis in soccer video
Proceedings of the international conference on Multimedia
Tactic analysis based on real-world ball trajectory in soccer video
Pattern Recognition
Football analysis using spatio-temporal tools
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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In order to make good strategies, soccer coaches analyze the archives of matches, which can be effectively considered as a set of trajectories. We can extract several useful information by analyzing the trajectories of moving objects, which consist of 22 players and a ball. Since each moving object interacts with others and produces a trajectory, its trajectory has a certain number of relationships with others, which are a basic type of information to make soccer strategies. In this paper, we propose a model to quantitatively express the performance of soccer players. This model is based on the relationships between trajectories of 22 players and a ball and allows to evaluate the performance of several players in quantitative way.