A Proposal on Automatic Analyzing Method from Movies of Tennis Match and Implementation of an Application to Visualize Result of Analysis to Feed Back to Players

Abstract

In recent years, in sports such as football, baseball, volleyball, and tennis, quantifying various data including the movement of the ball and players is utilized to improve the players' skills and tactics of the match. However, in many cases, aggregating these data is still done manually. Therefore, a lot of time and effort is needed to record details of information. Equipment that can record various types of sports data automatically exists; however, the equipment is expensive in general and not everyone can use them with ease. In the previous study, we proposed a system to extract the players’ coordinate, the bound points of the ball, and the stroke points from tennis match videos automatically. However, it is required that both the start and the end time of each point (the sub division of the match between the time when one of the players serves the ball and the time when one of the players gets a point) are inputted into the system manually. Then in this paper we propose a method to recognize the scene of serving the ball automatically in order that the start time of each point will be inputted into the system automatically. Moreover, we propose a user interface that provides the player with useful information by visualizing various data extracted from recorded data comprehensively.