论文标题
始终看一下场地的光明面：合并姿势和上下文数据以估计足球运动员的取向
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
论文作者
论文摘要
尽管事实证明，为了在各种各样的比赛中取得成功是足球运动员的一项关键技能，但身体方向是体育分析研究中尚未探索的领域。尽管固有的概念是一个固有的概念，但玩家方向可以定义为放置在玩家上层扭力（3D）中心的正常向量的投影（2d）。这项研究提出了一种新颖的技术，可以通过将OpenPose与超分辨率网络相结合，并将所获得的估算与上下文信息（球位置）合并，从而通过在2D字段中绘制姿势零件（肩膀和臀部）来从单眼视频记录中获得播放器取向。结果已通过玩家控制的EPTS设备验证，获得了27度/播放器的中位数错误。此外，提出了三种新型的定向图，以使原始方向数据易于可视化和理解，从而可以在团队或球员级别进行进一步的分析。
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.
