Article ID Journal Published Year Pages File Type
530795 Pattern Recognition 2012 11 Pages PDF
Abstract

Tactic analysis is an exciting and challenging problem in sport video analysis. The trajectories of ball and players convey rich tactic information, so the trajectory extraction and analysis are important for the soccer tactic analysis. Previous research on tactic analysis was generally based on finding object's mosaic trajectory which does not capture the rich semantic information of the real-world trajectory. In this paper, we propose a complete framework to systematically analyze soccer tactics. Specifically, we first propose an efficient real-world trajectory extraction method based on field line detection. Secondly, we define and recognize six typical soccer attack patterns for tactic analysis. With experiments on user study, the proposed method can improve the tactic analysis in terms of the conciseness, clarity, and usability.

► Six attack patterns are defined from the perspective of soccer professionals. ► The proposed attack patterns are the most meaningful tactic analysis approach. ► An efficient and accurate method of real-world trajectory extraction. ► The ball state is clearly defined and analyzed based on its trajectory.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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