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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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%.

LanguageEnglish
Title of host publication2018 2nd International Conference on Digital Signal Processing, ICDSP 2018
PublisherAssociation for Computing Machinery
Pages32-36
Number of pages5
ISBN (Electronic)9781450364027
DOIs
Publication statusPublished - 2018 Feb 25
Event2nd International Conference on Digital Signal Processing, ICDSP 2018 - Tokyo, Japan
Duration: 2018 Feb 252018 Feb 27

Other

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

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Trajectories

Keywords

  • Component
  • Motion Dense
  • Team Tactical Status Detection
  • Volleyball Analysis

ASJC Scopus subject areas

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

Cite this

Cheng, X., & Ikenaga, T. (2018). 3D space motion dense based team tactical status detection in volleyball game analysis. In 2018 2nd International Conference on Digital Signal Processing, ICDSP 2018 (pp. 32-36). Association for Computing Machinery. https://doi.org/10.1145/3193025.3193030

3D space motion dense based team tactical status detection in volleyball game analysis. / Cheng, Xina; Ikenaga, Takeshi.

2018 2nd International Conference on Digital Signal Processing, ICDSP 2018. Association for Computing Machinery, 2018. p. 32-36.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cheng, X & Ikenaga, T 2018, 3D space motion dense based team tactical status detection in volleyball game analysis. in 2018 2nd International Conference on Digital Signal Processing, ICDSP 2018. Association for Computing Machinery, pp. 32-36, 2nd International Conference on Digital Signal Processing, ICDSP 2018, Tokyo, Japan, 18/2/25. https://doi.org/10.1145/3193025.3193030
Cheng X, Ikenaga T. 3D space motion dense based team tactical status detection in volleyball game analysis. In 2018 2nd International Conference on Digital Signal Processing, ICDSP 2018. Association for Computing Machinery. 2018. p. 32-36 https://doi.org/10.1145/3193025.3193030
Cheng, Xina ; Ikenaga, Takeshi. / 3D space motion dense based team tactical status detection in volleyball game analysis. 2018 2nd International Conference on Digital Signal Processing, ICDSP 2018. Association for Computing Machinery, 2018. pp. 32-36
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