Player position estimation by monocular camera for soccer video analysis

In football contents, there are many services now. For example, player's tactics analysis and production of highlight scenes. In order to put into practice these contents, it is necessary to acquire important information from the football videos. In this paper, we propose a method to track multiple players and ball in a football video which is captured by monocular camera. In the case of capturing the video from a single view, there might be a lot of occluded situations of players. To overcome this problem, we propose a robust tracking method for multiple players by combining Particle Filter and Classifier. In order to track the ball, we try to track applying labeling and nearest neighbor algorithm. And more, we apply perspective transformation to extract player's position on the pitch. We show the experimental result and effectiveness of our proposed method.