Parallel tracking of all soccer players by integrating detected positions in multiple view images

Soccer, one of the popular sports around the world, is often broadcasted on TV, and various researches have done on soccer scene images such as strategy analysis, scene recovery, automatic indexing of soccer scenes, and automatic intelligent sports casting. As robust player tracking is fundamental to those researches, there is a demand for an automatic player tracking system using soccer imaging data. We propose a method of tracking soccer players using multiple views. Tracking is done by integrating the tracking data from all cameras, using the geometrical relationship between cameras called homography. Integrating information from all cameras enables stable tracking on the scene, where the tracking by a single camera often fails in the case of occlusion.