WEKO3
アイテム
A Visual Analytics Approach to Basketball Game Understanding Using Image-Based Tracking and Event Detection
https://tokushima-u.repo.nii.ac.jp/records/2013770
https://tokushima-u.repo.nii.ac.jp/records/20137701a493eb9-4643-4084-ac9b-42854df25d6d
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
ijcss_24_2_107.pdf (12.6 MB)
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| アイテムタイプ | 文献 / Documents(1) | |||||||||||
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| 公開日 | 2026-02-03 | |||||||||||
| アクセス権 | ||||||||||||
| アクセス権 | open access | |||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
| 資源タイプ | journal article | |||||||||||
| 出版社版DOI | ||||||||||||
| 関連識別子 | https://doi.org/10.2478/ijcss-2025-0015 | |||||||||||
| 関連名称 | 10.2478/ijcss-2025-0015 | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | VoR | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
| タイトル | ||||||||||||
| タイトル | A Visual Analytics Approach to Basketball Game Understanding Using Image-Based Tracking and Event Detection | |||||||||||
| 著者 |
カルンガル, スティフィン ギディンシ
× カルンガル, スティフィン ギディンシ
WEKO
1240
× 谷岡, 広樹 |
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| 抄録 | ||||||||||||
| 内容記述 | This paper presents a novel approach to analyzing basketball games. It uses image processing techniques to track player movements, evaluate passes and shots, and visualize game dynamics. The system employs player and ball detection methods, leveraging appearance embedding-based particle filters for robust tracking across consecutive frames. We generate trajectory diagrams that provide insights into team strategies and player performance by applying projective transformation to map coordinates from player feet to the basketball court. Key challenges addressed include improving tracking accuracy under dynamic conditions, minimizing over-detections in pass and shot judgment, and refining ball possession calculations. Experimental results show high tracking accuracy for players, but lower performance in ball tracking and shot detection, particularly in high-speed movements or when objects are occluded. The analysis also revealed that player and team behaviors, such as passing success rates and movement patterns, could be effectively visualized through trajectory diagrams. While the current system provides valuable insights into game strategies, further improvements are needed, particularly in enhancing the reliability of tracking, judgment of passes and shots, and clarity of trajectory in dense sequences of plays. | |||||||||||
| キーワード | ||||||||||||
| 主題 | PARTICLE FILTER | |||||||||||
| キーワード | ||||||||||||
| 主題 | EFFICIENTNETB1 | |||||||||||
| キーワード | ||||||||||||
| 主題 | PASS DETECTION | |||||||||||
| キーワード | ||||||||||||
| 主題 | VISUALIZATION | |||||||||||
| 書誌情報 |
en : International Journal of Computer Science in Sport 巻 24, 号 2, p. 107-130, 発行日 2025-12-07 |
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| 収録物ID | ||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||
| 収録物識別子 | 16844769 | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | Paradigm | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | International Association of Computer Science in Sport | |||||||||||
| 権利情報 | ||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||||||||
| 権利情報 | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International | |||||||||||
| EID | ||||||||||||
| 識別子 | 456382 | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
