Action Recognition in Sports Video Considering Location Information

Rina Ichige, Yoshimitsu Aoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The purpose of this study is to develop a tactics analysis system using image recognition for rugby. With the Rugby World Cup in 2019 and the Tokyo Olympics in 2020, demand for sports video analysis is increasing. Rugby has more complicated play such as dense play than other sports, and the ball is hidden between players, making it difficult to track. By developing a high-precision analysis technology for rugby with few research cases, we thought that it could be used for other sports and industrial fields other than sports. In this research, we propose a method that adds spatial information to time-series information as a new feature. Using the coordinates obtained by projectively transforming the match video onto the bird’s-eye view image, play classification was performed using the player position, the ball position, and the dense area position as feature amounts. Also, in order to further improve the detection accuracy of the boundaries between plays, attention was paid to the positional relationship of each player on the field.

本文言語English
ホスト出版物のタイトルFrontiers of Computer Vision - 26th International Workshop, IW-FCV 2020, Revised Selected Papers
編集者Wataru Ohyama, Soon Ki Jung
出版社Springer
ページ150-164
ページ数15
ISBN(印刷版)9789811548178
DOI
出版ステータスPublished - 2020
イベントInternational Workshop on Frontiers of Computer Vision, IW-FCV 2020 - Ibusuki, Japan
継続期間: 2020 2 202020 2 22

出版物シリーズ

名前Communications in Computer and Information Science
1212 CCIS
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

Conference

ConferenceInternational Workshop on Frontiers of Computer Vision, IW-FCV 2020
CountryJapan
CityIbusuki
Period20/2/2020/2/22

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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