Estimating the number of table tennis rallies in a match video

Shoma Kato; Akira Kito; Toru Tamaki; Hiroaki Sawano

doi:10.1117/12.2625945

30 April 2022 Estimating the number of table tennis rallies in a match video

Shoma Kato, Akira Kito, Toru Tamaki, Hiroaki Sawano

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121770I (2022) https://doi.org/10.1117/12.2625945
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

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.

Citation Download Citation

Shoma Kato, Akira Kito, Toru Tamaki, and Hiroaki Sawano "Estimating the number of table tennis rallies in a match video", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121770I (30 April 2022); https://doi.org/10.1117/12.2625945

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