Trajectory Analysis for Soccer Players

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.

• Type: Conference
• Year: 2006
• Where: ICDM
• Authors: Chan-Hyun Kang, Jung-Rae Hwang, Ki-Joune Li
• Keywords: Data Mining, ICDM 2006, Object Interacts, Soccer, Trajectories