Determining Play in Soccer Scenes Using Multiple View Images

Abstract

Scene analysis and indexing of video images from soccer games have been the focus of a lot of research. But recognition of play has not been studied enough for data analysis. We propose a method for determining play in soccer games using multiple view images taken by fixed cameras. Our method consists of four components: tracking of the ball, event detection, tracking of players controlling the ball, and play determination. The ball is tracked using template matching, and event frames are extracted using ball velocity. In the event frame, the player controlling the ball is detected and is tracked until the next event frame. Then, play is determined using information about the ball, the players, and the features of play. By using information from each camera, ball and player are tracked with high accuracy. Experimental results show that our method is effective in determining play.