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首页> 外文会议>IEEE International Conference on Image Processing >Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players
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Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players

机译：始终将目光投向该领域：合并姿势和上下文数据以评估足球运动员的方向

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摘要

Although orientation has proven to be a key skill of soccer players in order to succeed in a broad spectrum of plays, body orientation is a yet-little-explored area in sports analytics’ research. Despite being an inherently ambiguous concept, player orientation can be defined as the projection (2D) of the normal vector placed in the center of the upper-torso of players (3D). This research presents a novel technique to obtain player orientation from monocular video recordings by mapping pose parts (shoulders and hips) in a 2D field by combining OpenPose with a super-resolution network, and merging the obtained estimation with contextual information (ball position). Results have been validated with players-held EPTS devices, obtaining a median error of 27 degrees/player. Moreover, three novel types of orientation maps are proposed in order to make raw orientation data easy to visualize and understand, thus allowing further analysis at team- or player-level.
机译：尽管定向定向已经证明是足球运动员在众多比赛中取得成功的一项关键技能，但定向定向是体育分析研究中尚待探索的领域。尽管是一个固有的模棱两可的概念，但是可以将玩家方向定义为放置在玩家上躯干（3D）上躯干中心的法向矢量的投影（2D）。这项研究提出了一种新技术，该技术通过将OpenPose与超分辨率网络相结合，并将获得的估计值与上下文信息（球的位置）相结合，通过在2D场中绘制姿势部分（肩膀和臀部）来从单眼视频录制中获取球员的方位。结果已经通过玩家手持的EPTS设备进行了验证，平均误差为27度/玩家。此外，提出了三种新颖的方向图，以使原始方向数据易于可视化和理解，从而允许在团队或球员级别进行进一步分析。

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