Quantitative Evaluation of Tennis Plays by Computer Vision

抄録

In this paper, tennis games are evaluated quantitatively, and skills of players are analyzed by computer vision technology. Two cameras are used to detect the three-dimensional positions of balls and players. Subtractions of images are used to extract ball images after eliminating ball shadows. The prediction of ball position by using velocity vectors of previous images enables accurate and high-speed ball detection. Examples of game plays are shown quantitatively, and the plays are discussed in detail. Sequential images of 73 return strokes and 15 services by five players are analyzed quantitatively. Six parameters that represent tennis play skill are introduced for the quantitative evaluation. These skill factors are evaluated using the multiple regression method. Among these, it is concluded that ball scattering and ball shot speed are strongly related to skill scores, and the skill factors differ between players.