Investigation into Tracking Football Players from Video Streams Produced by Cameras Set Up for TV Broadcasting

摘要

This paper describes a camera-based observation system for automatic analysis of football games. The algorithm runs on video streams produced by cameras set up for TV broadcasting. Our approach consisted of read video files, convert video files to frame, player detection using coupled object detection methods and training algorithms and tracking with Kalman filter. The result showed that the accuracy of player detection and tracking of the movies with low speed was m ore than high speed. Furthermore when the region of filed was nearly constant the accuracy of detection and tracking increased, because of training algorithm effects on detection. When the players run with constant speed, the accuracy of detection and tracking was very high. However Kalman filter coupled with training algorithm and object detection methods is efficient for detecting and tracking the football players very well.