One Image Segmentation and Discrimination Method of Live Video System Applied in Sport Game

Background: In the field of video image processing, the segmentation and tracking method has become a hot research field. According to the characteristics of soccer video and VAR (Video Assistant Referee) System, in the paper, it proposes a fast algorithm of segmentation and tracking of the players in the video. Methods: First, according to complementary advantages on the color expression in RGB (Red, Green, Blue) space and HSI (Hue, Saturation, Intensity) space, it adopts the method based on combining the main and auxiliary space to make segmentation of the objects in the video. Then, it compares with the normalized color histogram of targets to make identification of which team the players belong to. Results: Finally, it adopts the context features of the players in the soccer video sequence; it combines the method of template matching to realize the player tracking in the soccer video. Conclusion: The experimental results show that the tracking algorithm proposed in this paper can solve the objects occlusion problem of the different players in the soccer match, and can track the different players steadily, and it also can be adopted in the VAR system.