用于体育赛事的3D对象跟踪器

M. A. Volkova, M. P. Romanov, A. M. Bychkov
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引用次数: 1

摘要

目标。体育赛事是目前应用跟踪系统最有前途的领域之一。在大多数情况下,这样的系统被设计用来跟踪二维平面上的移动物体,例如,球场上的球员,以及通过各种特征来识别它们。然而,随着无人机竞赛等新运动的发展,在三维坐标系中确定物体位置的问题变得相关。本研究的目的是开发一种算法和软件,用于对运动物体进行三维跟踪,而不考虑数据分割技术,并对该方法进行测试,以估计跟踪质量。在回顾和分析当前跟踪方法的基础上,选择了一种匹配目标速度和位置信息的方法。提出了运动目标跟踪软件的一套算法结构。在公开可用的APIDIS数据集上进行实验研究,获得了0.858的MOTA度量。根据提出的数据集,还跟踪了FPV四轴飞行器沿轨道的飞行;利用跟踪数据重建无人机的三维飞行路径。实验结果表明,该方法在三维世界坐标系下跟踪四轴飞行器飞行轨迹是可行的,也适用于体育赛事中跟踪目标。
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3D object tracker for sports events
Objectives. Sports events are currently among the most promising areas for the application of tracking systems. In most cases, such systems are designed to track moving objects in a two-dimensional plane, e.g., players on the field, as well as to identify them by various features. However, as new sports such as drone racing are developed, the problem of determining the position of an object in a three-dimensional coordinate system becomes relevant. The aim of the present work was to develop algorithms and software for a method to perform 3D tracking of moving objects, regardless of the data segmentation technique, and to test this method to estimate the tracking quality.Methods. A method for matching information on the speed and position of objects was selected based on a review and analysis of contemporary tracking methods.Results. The structure of a set of algorithms comprising software for a moving-object tracker for sports events is proposed. Experimental studies were performed on the publicly available APIDIS dataset, where a MOTA metric of 0.858 was obtained. The flight of an FPV quadcopter along a track was also tracked according to the proposed dataset; the 3D path of the drone flight was reconstructed using the tracker data.Conclusions. The results of the experimental studies, which demonstrated the feasibility of using the proposed method to track a quadcopter flight trajectory in a three-dimensional world coordinate system, is also showed that the method is suitable for tracking objects at sports events.
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