Tactics-Trend Analysis for Increasing the Possibility of Shooting in a Basketball Match
| Autor: | Kenji Matsuura, Naka Gotoda, Shu Yano, Naoya Kohda, Stephen Karungaru, Hiroki Tanioka, Tomohito Wada |
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| Rok vydání: | 2020 |
| Předmět: |
Basketball
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputingMilieux_PERSONALCOMPUTING 020206 networking & telecommunications 02 engineering and technology Trend analysis 0202 electrical engineering electronic engineering information engineering Ball (bearing) 020201 artificial intelligence & image processing Tracking data Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IMCOM |
| DOI: | 10.1109/imcom48794.2020.9001784 |
| Popis: | Basketball is one of the most popular team-sports played on a shared court. It is important to shoot a basket based on a predominant strategy. In terms of individual movement along with the strategy, it is necessary for an offense player to understand how to shoot easily in an organized team-play. In this study, we introduce basic tactics and propose an environment for automatic extraction of scenes applying them from tracking data of players and a ball. We also analyze applied tactics, which are linked to shoot motions and their goals. |
| Databáze: | OpenAIRE |
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