Estimating the number of table tennis rallies in a match video
Shoma Kato, Akira Kito, Toru Tamaki, Hiroaki Sawano · International Workshop on Advanced Imaging Technology (IWAIT) 2022 · 2022
In this paper, we propose a method for estimating the number of rallies in table tennis match videos. A play scene is extracted from a video by using frame similarity, and a ball area is detected in an upper side of the table with frame difference and color thresholding. The detected ball is either a receive ball by the upper side player or the high toss service by the bottom player. The high toss service is removed with the collision sound of the ball and table or racket. Experiments of estimating the number of rallies show the accuracy of 63.7 % with 157 play scenes of T-League match videos in Japan.