VIRD: Immersive Match Video Analysis for High-Performance Badminton Coaching
VIRD: Immersive Match Video Analysis for High-Performance Badminton Coaching
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DOI：
10.1109/tvcg.2023.3327161
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发表时间：
2024-01-01
影响因子：
5.2
通讯作者：
Wang，Jui-Hsien
中科院分区：
文献类型：
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作者：
Lin，Tica;Aouididi，Alexandre;Wang，Jui-Hsien
羽毛球是一项快节奏的运动，需要空间、时间和技术战术的战略结合。为了在高水平的比赛中获得竞争优势，羽毛球专业人士经常分析比赛视频，以获得见解并制定比赛策略。然而，由于缺乏自动数据收集和适当的可视化工具，目前分析匹配的过程非常耗时，并且严重依赖人工笔记。因此，羽毛球教练员和运动员在有效分析比赛和交流见解方面存在差距。这项工作提出了与羽毛球专业人士密切合作设计的端到端沉浸式比赛分析管道，包括奥运会和国家教练和运动员。我们介绍了VIRD，一个VR Bird(即航天飞机)沉浸式分析工具，它支持基于3D重建的比赛视频的沉浸式环境中的交互式羽毛球比赛分析。我们提出了一种自上而下的分析工作流程，允许用户使用情景3D可视化和视频，无缝地从高级比赛概述转移到个人集会和投篮的详细比赛视图。我们利用计算机视觉模型采集三维空间和动态拍摄数据以及球员姿势，并在VR中进行可视化。通过身临其境的可视化，教练可以用灵活的视角交互地分析情境空间数据(球员的位置、姿势和投篮轨迹)，同时通过具体化的交互在击球和反弹之间有效地导航。我们在实际比赛中与奥运会和国家级教练和球员一起评估了VIRD的有用性。结果表明，沉浸式分析支持有效的羽毛球比赛分析，降低了上下文切换成本，并以高度的临场感增强了空间理解。
Badminton is a fast-paced sport that requires a strategic combination of spatial, temporal, and technical tactics. To gain a competitive edge at high-level competitions, badminton professionals frequently analyze match videos to gain insights and develop game strategies. However, the current process for analyzing matches is time-consuming and relies heavily on manual note-taking, due to the lack of automatic data collection and appropriate visualization tools. As a result, there is a gap in effectively analyzing matches and communicating insights among badminton coaches and players. This work proposes an end-to-end immersive match analysis pipeline designed in close collaboration with badminton professionals, including Olympic and national coaches and players. We presentVIRD, a VR Bird (i.e., shuttle) immersive analysis tool, that supports interactive badminton game analysis in an immersive environment based on 3D reconstructed game views of the match video. We propose a top-down analytic workflow that allows users to seamlessly move from a high-level match overview to a detailed game view of individual rallies and shots, using situated 3D visualizations and video. We collect 3D spatial and dynamic shot data and player poses with computer vision models and visualize them in VR. Through immersive visualizations, coaches can interactively analyze situated spatial data (player positions, poses, and shot trajectories) with flexible viewpoints while navigating between shots and rallies effectively with embodied interaction. We evaluated the usefulness of VIRD with Olympic and national-level coaches and players in real matches. Results show that immersive analytics supports effective badminton match analysis with reduced context-switching costs and enhances spatial understanding with a high sense of presence.