Sports Video Tracking Technology Based on Mean Shift and Color Histogram Algorithm

Abstract

Abstract With the development of society, people pay more and more attention to sports. In this context, sports video tracking technology has become a research hotspot. At present, a lot of research has been done on target tracking technology at home and abroad, and great breakthroughs have been made. However, there are still some deficiencies in the existing video tracking algorithms. On this basis, this paper combines the mean shift algorithm with color histogram algorithm, and proposes a new sports video tracking technology algorithm. In the study, in order to verify the effectiveness of this method, we select two videos to do experiments. In order to highlight the advantages of this method, we will use the mean shift algorithm for sports video tracking method and the color histogram algorithm for sports video tracking method as a comparison. The results show that, overall, the tracking accuracy of the proposed method is the highest, with an average tracking accuracy of 95.9%, followed by the mean shift algorithm for sports video tracking. The average tracking accuracy of this method is 90.35%. Finally, the color histogram algorithm is used to track sports video, and the tracking accuracy of this method is accurate the rate was 89.8%. In addition, the tracking speed of the proposed method is better than the other two methods. It can be seen that this method has good performance and can track sports video quickly and accurately.