首页> 外文会议>IAPR Workshop on Machine Vision Applications, Nov 28-30, 2000, The University of Tokyo, Japan >A 3-D Motion Recovery Technique for Group Sports Employing Uncalibrated Video Cameras
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A 3-D Motion Recovery Technique for Group Sports Employing Uncalibrated Video Cameras

机译:使用未经校准的摄像机进行团体运动的3-D运动恢复技术

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摘要

Human motion recovery and modeling is a demanding technique in various areas such as sports, dancing, virtual reality, video game producing, etc. But the people in this area focus their efforts more on motion recovery of a single person than a group of persons. In this paper, a technique is described for recovering 3-D motions of a group of persons who are engaged in a certain activity. More than three video cameras are placed apart in front of the persons concerned and their motions are captured. Commonly visible feature points which spread over them are tracked on the video image streams to yield an extended measurement matrix. This matrix receives singular value decomposition and a shape matrix is finally obtained which contains the 3-D locations of all the chosen feature points. The technique is applied to 3-D motion recovery of the players in a mini-basketball game performed in a gymnasium and satisfactory results are obtained. The present technique may have application to, e.g., formation evaluation of the players in a group sport as well as form analysis of individual players.
机译:人体运动恢复和建模是运动,舞蹈,虚拟现实,视频游戏制作等各个领域中的一项要求很高的技术。但是,该领域的人们将精力更多地集中在单个人而不是一群人的运动恢复上。在本文中,描述了一种用于恢复从事某种活动的一组人的3-D运动的技术。在相关人员面前分开放置了三个以上的摄像机,并捕获了他们的动作。在视频图像流上跟踪散布在它们上的通常可见的特征点,以生成扩展的测量矩阵。该矩阵接受奇异值分解,最终获得形状矩阵,其中包含所有选定特征点的3D位置。将该技术应用于在体育馆进行的小型篮球比赛中运动员的3D动作恢复中,获得了令人满意的结果。本技术可以应用于例如团体运动中的运动员的阵型评估以及单个运动员的形式分析。

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