Tracking soccer players based on homography among multiple views
Tracking soccer players based on homography among multiple views
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基于多个视图之间的单应性跟踪足球运动员
DOI：
10.1117/12.502967
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
H. Saito
中科院分区：
文献类型：
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作者：
Sachiko Iwase;H. Saito
在本文中，我们提出了一种方法，跟踪足球运动员使用多个视图。由于许多研究人员已经通过使用运动员和足球的轨迹对足球场景进行了分析，因此期望鲁棒地跟踪足球运动员。足球运动员跟踪可以进行策略分析，场景恢复，制作广播场景，以及摄像机控制的自动系统。然而，足球是一项在许多情况下发生遮挡的运动，并且跟踪经常由于球员的遮挡而失败。很难单独使用一台摄像机来跟踪球员。因此，我们使用多个视图的图像，以避免遮挡问题，使我们可以获得在球员跟踪的鲁棒性。作为第一步，在每个摄像机中独立地执行摄像机内操作以跟踪运动员。在摄像机中不能跟踪玩家的任何情况下，执行摄像机间操作作为第二步骤。利用摄像机之间的几何关系（称为单应性）来综合所有摄像机的跟踪信息。相机间操作使得可以获得在图像中未检测到的玩家、被其他玩家遮挡的玩家以及在视角之外的玩家的位置。实验结果表明，鲁棒的球员跟踪是可用的跟踪优势，使用多个摄像机。
In this paper, we propose a method of tracking soccer players using multiple views. As many researchers have done on soccer scene analysis by using trajectories of the playser and the soccer ball, it is desirable to track soccer players robustly. Soccer player tracking enables strategy analysis, scene recovery, making scenes for broadcasting, and automatic system of the camera control. However, soccer is a sport that occlusion occurs in many cases, and tracking often fails by the occlusion of the players. It is difficult to track the players by using a single camera alone. Therefore, we use multiple view images to avoid the occlusion problem, so that we can obtain robustness in player tracking. As a first step, inner-camera operation is performed independently in each camera to track the players. In any case that player can not be tracked in the camera, inter-camera operation is performed as a second step. Tracking information of all cameras are integrated by using the geometrical relationship between cameras called homography. Inter-camera operation makes it possible to get the location of the player who is not detected in the image, who is occluded by the other player, and who is outside the angle of view. Experimental results show that robust player tracking is available by tracking advantage using multiple cameras.