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Automatic player's view generation of real soccer scenes based on trajectory tracking

机译:基于轨迹跟踪自动生成真实足球场景的球员视野

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This paper proposes a method to generate a player's view video of an actual soccer match using a 3D free-viewpoint video technique. Users can enjoy 3D video simply by choosing a target player and concentrating on a soccer match from the player's view by manually controlling the viewing position. The generated video provides an immersive sight as if the user is running on the pitch. To generate the player views, the target player's 3D trajectory must be estimated. We developed a novel computer vision technique for player tracking that robustly works in an actual soccer stadium. In the current system, the orientation of the virtual camera for the player's view does not follow the gaze direction of each player because the image resolution is too poor to acquire gaze direction by computer vision. Users can choose a favorite orientation control method. We applied the proposed method to an actual soccer match held in an outdoor stadium to confirm its effectiveness.
机译:本文提出了一种使用3D自由视点视频技术生成球员观看实况足球比赛的视频的方法。用户只需选择目标球员,然后手动控制观看位置,即可从球员的视线集中观看足球比赛,从而欣赏3D视频。生成的视频提供了一种身临其境的视觉效果,就像用户在球场上奔跑一样。要生成玩家视图,必须估算目标玩家的3D轨迹。我们开发了一种新颖的计算机视觉技术来跟踪球员,该技术可在实际的足球场中正常运行。在当前系统中,针对玩家视角的虚拟相机的方向不遵循每个玩家的注视方向,因为图像分辨率太差以至于无法通过计算机视觉来获取注视方向。用户可以选择喜欢的方向控制方法。我们将建议的方法应用于在室外体育场举行的实际足球比赛中,以确认其有效性。

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