网球投篮侧视图和顶视图数据集用于Tennist中的球员分析
Kalin Guanlun Lai1, Hsu-Chun Huang2, Wei-Ting Lin3
1Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
Data in brief
|May 6, 2024
概括
一个新的数据集从多个角度捕捉网球投篮,有助于追踪球和分析球员运动. 本资源增强了体育科学,以改善网球训练和策略开发.
科学领域:
- 运动科学 运动科学 运动科学
- 计算机视觉 计算机视觉
- 生物力学 生物力学
背景情况:
- 技术在体育中的整合增强了训练和分析.
- 网球追踪对于裁判和绩效评估至关重要.
- 现有的数据集可能缺乏用于全面分析的多维视图.
研究的目的:
- 介绍网球投篮侧视图和顶视图数据集.
- 为分析网球运动和球轨迹提供资源.
- 方便验证球降落位置.
主要方法:
- 收集了各种网球拍摄的侧视图和顶视图视频片段.
- 捕捉了玩家在室外和室内环境中的运动.
- 包括每个剪贴的实际球位置的地面真实数据.
主要成果:
- 该数据集为网球投篮提供了一个全面的,多维的视图.
- 能够对球员动力学和球动力学进行详细分析.
- 为验证跟踪算法提供经过验证的数据.
结论:
- 网球投篮侧视图和顶视图数据集是网球研究的一个重大进步.
- 它支持深入的玩家分析,绩效提升和战略开发.
- 该数据集将促进网球社区的创新和卓越.
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