The Video Analysis of the Players' Physical Fitness during the Soccer Competition Based on the Kernelized Correlation Filter

Through the study of the current video tracking technology, a new algorithm, named Kernelized Correlation Filter with multi-dimensional video analysis, can increase the accuracy by adjusting the study rate and samples' range, and track the players' movement combining with the weighted video information.The results show that the method can improve the blocking-resistance ability, guarantee the tracking processing speed, and reduce the tracking error of the similar target, which can better solve the soccer video tracking problem of more targets tracking.