论文标题
从广播衍生的跟踪数据中估算团队合作期间的运动需求
Estimating locomotor demands during team play from broadcast-derived tracking data
论文作者
论文摘要
跨运动的光学跟踪数据引入了十年前在不可估量的水平上剖析运动表现的能力。体育科学的一个特定领域是体育科学，因为高分辨率协调数据允许体育科学家对外部负载指标（例如加速载荷和高速跑步距离）进行第二次估算，传统上用来了解游戏对运动员的身体损失。不幸的是，收集此数据需要安装昂贵的硬件并向数据提供商支付昂贵的许可费，从而限制其可用性。已经开发了算法，可以将传统的广播供稿转换为X-y坐标数据，从而使跟踪数据更易于获取，但是只有在该播放器在相机框架内时，坐标才适用于运动员。显然，这导致了玩家负载估算的不准确性，从而限制了该数据对体育科学家的实用性。在这项研究中，我们开发了预测屏幕载荷指标的模型，并证明了广播衍生的跟踪数据的可行性，以了解足球中的外部负载。
The introduction of optical tracking data across sports has given rise to the ability to dissect athletic performance at a level unfathomable a decade ago. One specific area that has seen substantial benefit is sports science, as high resolution coordinate data permits sports scientists to have to-the-second estimates of external load metrics, such as acceleration load and high speed running distance, traditionally used to understand the physical toll a game takes on an athlete. Unfortunately, collecting this data requires installation of expensive hardware and paying costly licensing fees to data providers, restricting its availability. Algorithms have been developed that allow a traditional broadcast feed to be converted to x-y coordinate data, making tracking data easier to acquire, but coordinates are available for an athlete only when that player is within the camera frame. Obviously, this leads to inaccuracies in player load estimates, limiting the usefulness of this data for sports scientists. In this research, we develop models that predict offscreen load metrics and demonstrate the viability of broadcast-derived tracking data for understanding external load in soccer.
