3D space motion dense based team tactical status detection in volleyball game analysis

Xina Cheng, Takeshi Ikenaga

研究成果: Conference contribution

抄録

In volleyball game analysis, the team tactical status plays an important role in analyzing game tactics, evaluation of team performance and developing team works for coach. In this paper, the team tactical status is classified into four categories: the defensive ready, the defensive, the offensive ready and the attack. The difficulties to detect one team tactical status from other types including: 1) team rotations and player exchange, 2) different team formations, which make the same team tactical status have various features such as different player position and motion. This paper proposes a 3D space motion dense based team tactical status detection method to solve the complex features of team status. Instead using the local feature of each player, the 3D space motion dense feature describes the team status from two main aspects, the entire team motions relative to the court area and the relative motion of all the players to the ball. With the 3D ball trajectories and multiple players' positions tracked from multi-view volleyball game videos, the experimental result shows the detection accuracy reaches more than 80%.

本文言語English
ホスト出版物のタイトル2018 2nd International Conference on Digital Signal Processing, ICDSP 2018
出版社Association for Computing Machinery
ページ32-36
ページ数5
ISBN(電子版)9781450364027
DOI
出版ステータスPublished - 2018 2 25
イベント2nd International Conference on Digital Signal Processing, ICDSP 2018 - Tokyo, Japan
継続期間: 2018 2 252018 2 27

Other

Other2nd International Conference on Digital Signal Processing, ICDSP 2018
CountryJapan
CityTokyo
Period18/2/2518/2/27

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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