Motion Track Enhancement Method of Sports Video Image Based on OTSU Algorithm

Abstract

Current sports video image tracking methods cannot get the average gray information of pixels, which leads to the low segmentation accuracy of target trajectory. Therefore, this paper proposes a method of enhancing the motion track of sports video object based on OTSU algorithm. The OTSU algorithm is introduced to segment the unsupervised image automatically based on threshold calculation. Combined with 3D histogram, the OTSU algorithm is optimized to overcome the influence of noise and nonuniform illumination and to improve the segmentation performance. Using the optimized OTSU algorithm, the preprocessing of sports video image is realized by gray level transform, median filter, and binarization. Based on this, the object motion model of sports video image is constructed, and the edge information of sports video image is extracted. Using binocular stereo vision technology, according to the image target motion model and the current space coordinates, calculate the motion track, and obtain the parameters of sports video image. Experimental results show that the proposed method can segment the target accurately in a shorter time, and the enhancement effect of target trajectory is obvious, and the error is small.