Ball Trajectory Extraction in Team Sports Videos by Focusing on Ball Holder Candidates for a Play Search and 3D Virtual Display System
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- Kurano Junji
- Graduate School of Science and Technology, Keio University
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- Hayashi Masaki
- Graduate School of Science and Technology, Keio University
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- Yamamoto Taiki
- Graduate School of Science and Technology, Keio University
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- Kataoka Hirokatsu
- Graduate School of Science and Technology, Keio University
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- Tanabiki Masamoto
- Graduate School of Science and Technology, Keio University
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- Furuyama Junko
- Graduate School of Science and Technology, Keio University
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- Aoki Yoshimitsu
- Graduate School of Science and Technology, Keio University
説明
When team sports coaches instruct their team members, a sample video is needed for an offensive instruction. However, it is very difficult to search a video for the parts of interest, and it takes a long time to compile a database, for example, ball trajectories and player locations, because sports videos have many periods with no play such as timeouts. In particular, information on the ball trajectory is very important for tactical analysis. However, it is currently inputted manually, which is time-consuming. Therefore, we focus on American football, where the ball can rarely be seen. The contribution of this paper is the submission of a method of automatic ball trajectory extraction. First, we remove the no-play periods in team sports videos to leave only play time and reduce the processing time. Second, we extract the ball trajectory to enable tactical analysis. We propose a new approach to ball tracking by focusing on the ball holder prediction. Our method can be applied to situations with heavy occlusion. Finally, we construct a play search and 3D virtual display system using information on the ball trajectory and the Unity, which is the development environment of the 3D virtual visualization. We used it to construct a Virtual 3D map for watching the play from an arbitrary viewpoint.
収録刊行物
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- 信号処理
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信号処理 19 (4), 147-150, 2015
信号処理学会
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詳細情報 詳細情報について
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- CRID
- 1390001204463428608
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- NII論文ID
- 130005090480
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- ISSN
- 18801013
- 13426230
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可