Pose trend analysis in tennis video based on pose estimation

Abstract

Recently, demand for sports video analysis is increasing, for example, analysis of players and teams. In this paper, we focus on Tennis videos. First, we estimate joint positions using Convolutional Pose Machine. Second, we classify similar actions into the same class. Third, we compare behaviors in the same class. Our method can visualize clustering result to grasp detailed difference between similar behavior.