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International Workshop on Frontiers of Computer Vision

IW-FCV 2020: Frontiers of Computer Vision pp 150–164Cite as

Action Recognition in Sports Video Considering Location Information

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1212))

Abstract

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.

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Author information

Authors and Affiliations

  1. Keio University, 3‐14‐1, Hiyoshi, Kohoku‐ku, Yokohama, 223‐8522, Japan

    Rina Ichige & Yoshimitsu Aoki

Authors
  1. Rina Ichige
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  2. Yoshimitsu Aoki
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Corresponding author

Correspondence to Rina Ichige .

Editor information

Editors and Affiliations

  1. Saitama Institute of Technology, Saitama, Japan

    Wataru Ohyama

  2. Kyungpook National University, Daegu, Korea (Republic of)

    Soon Ki Jung

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Ichige, R., Aoki, Y. (2020). Action Recognition in Sports Video Considering Location Information. In: Ohyama, W., Jung, S. (eds) Frontiers of Computer Vision. IW-FCV 2020. Communications in Computer and Information Science, vol 1212. Springer, Singapore. https://doi.org/10.1007/978-981-15-4818-5_12

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  • DOI: https://doi.org/10.1007/978-981-15-4818-5_12

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4817-8

  • Online ISBN: 978-981-15-4818-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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