A Study of a Rally Scene Estimation Method in a Table Tennis Video

被引：0

作者：

Kato, Shoma ^{[1
]}

Onishi, Ryota ^{[1
]}

Sawano, Hiroaki ^{[1
]}

Kito, Akira ^{[1
]}

机构：

[1] Aichi Inst Technol, 1247 Yachigusa,Yakusa Cho, Toyota, Aichi, Japan

来源：

INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2021 | 2021年 / 11766卷

关键词：

table tennis; computer vision; rally scene estimation;

D O I：

10.1117/12.2590969

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose an estimation method of a rally scene from a table tennis video for broadcasting. The video is constructed of entry, rally, replay, and break scenes, the scenes are detected by comparison of adjacent frames. The rally scene shows a ping-pong table, and the table is extracted in the detected scene. In addition, an appearance of the rally scene is higher than the others, and the top number group of the scenes is defined as the rally scene. As a result of an evaluation experiment, the estimation accuracy of the proposed method is 96.8 % from 711 rally scenes of ten videos.

引用

页数：4

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