Trajectory Analysis for Soccer Players

Chan-hyun Kang, Jung-rae Hwang, Ki-joune Li
2006 Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)  
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
more » ... 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.
doi:10.1109/icdmw.2006.160 dblp:conf/icdm/KangHL06 fatcat:7nogepni25ekjm5lzftclqvvcq