A multi-view automatic table tennis umpiring framework

P. Wong, Hnin Myint, L. Dooley, A. Hopgood
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Abstract

This paper presents a low-cost, portable, multi-view table tennis umpiring framework, as a viable alternative to the current expensive systems which are almost exclusively restricted to elite professional sports. Table tennis has been selected as the sport to evaluate this framework primarily because it comprises many different complex match elements, including the service, return and rally elements, which are governed by a strict set of regulations which need to be umpired. The aim is to develop novel methods to analyse and judge the legality of such key match facets, with ball detection and tracking in video frames being integral to reliably and accurately determining the ball’s position and flight path during rallies. While a low-cost option is attractive and offers several benefits, it is a technically challenging problem due to the small number and generally low-resolution cameras that are used. A novel multi-view camera setup and multi-agent system (MAS) framework is presented, which comprises computationally lightweight agents which detect and track the table tennis ball, create a 3D representation of the flight path of the ball, predict the ball’s trajectory, and identify and analyse key facets in a table tennis rally. The MAS correctly detects all state transitions in seven test table tennis sequences with minimal latency and while the processing rate of a standard computer may be unable to analyse long rallies in real time, the potential of running the MAS on a parallel architecture is a propitious alternative. The MAS is also scalable, enabling additional camera pairs to be deployed to achieve enhanced accuracy and coverage. The framework affords the potential to reform the way matches are umpired, especially for amateur players, providing an economic and objective manner of dispute resolution, while the multi-view facility is extendible to other relevant ball-based sports. The ball flight path analysis mechanism can be exploited as a valuable training tool for skill development.
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一种多视图乒乓球裁判自动化框架
本文提出了一种低成本、便携、多视图的乒乓球裁判框架,作为目前几乎只限于精英职业运动的昂贵系统的可行替代方案。乒乓球之所以被选为评估这一框架的运动,主要是因为它包括许多不同的复杂比赛元素,包括发球、回球和拉力赛元素,这些元素都受到一套需要裁判的严格规定的约束。其目的是开发新的方法来分析和判断这些关键比赛面的合法性,视频帧中的球检测和跟踪是可靠准确地确定比赛中球的位置和飞行路径的关键。虽然低成本的选择很有吸引力,并提供了一些好处,但由于使用的相机数量少且分辨率普遍较低,这在技术上是一个具有挑战性的问题。提出了一种新的多视角摄像机设置和多智能体系统(MAS)框架,该框架包括计算量轻的智能体,用于检测和跟踪乒乓球,创建球的飞行路径的3D表示,预测球的轨迹,以及识别和分析乒乓球拉力赛中的关键方面。MAS以最小的延迟正确检测七个测试乒乓球序列中的所有状态转换,虽然标准计算机的处理率可能无法实时分析长距离反弹,但在并行架构上运行MAS的潜力是一个有利的选择。MAS也是可扩展的,能够部署额外的相机对,以实现增强的准确性和覆盖率。该框架提供了改革比赛裁判方式的潜力,尤其是对业余选手来说,提供了一种经济客观的纠纷解决方式,而多视角设施可以扩展到其他相关的以球为基础的运动。球的飞行轨迹分析机制可以作为一种有价值的技能发展训练工具。
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来源期刊
CiteScore
3.50
自引率
20.00%
发文量
51
审稿时长
>12 weeks
期刊介绍: The Journal of Sports Engineering and Technology covers the development of novel sports apparel, footwear, and equipment; and the materials, instrumentation, and processes that make advances in sports possible.
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