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Computer vision approach to automatic linesman

机译:自动线路的计算机视觉方法

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摘要

To date, there is no implementation of an automatic linesman system (ALS) in any official badminton game. An ALS is important in assisting the game umpire/referee to make a better judgment in a dispute. Just like the Hawkeye system in tennis, the ALS is anticipated to play more important role in big games that require high standard refereeing quality like the Olympic, Badminton World Championships (BWF) etc. This paper proposed an algorithm to model the shuttlecock position so as to track and determine its landing point either inside or outside-the boundaries of the court line. It involves background subtraction method in hue space, analysis of the shuttlecock trajectory and a decision making process to determine the shuttlecock landing point. Performance is evaluated based on three metrics namely, accuracy, sensitivity and specificity. Initial results showed that the proposed algorithm works well with low error values. However, further works is required to refine the proposed ALS before it can be fully implemented in an official game.
机译:迄今为止,在任何官方羽毛球游戏中没有实施自动界限系统(ALS)。 ALS在协助游戏裁判/裁判方面非常重要,以便在争议中做出更好的判断。就像网球的Hawkeye系统一样,ALS预计将在大型游戏中发挥更重要的作用,这些比赛需要高标准的裁判质量,如奥林匹克,羽毛球世界锦标赛(BWF)等。本文提出了一种算法来模拟羽毛球位置的算法跟踪并确定其着陆点在法院线的边界内部或外面。它涉及色调空间中的背景减法方法,对羽毛球轨迹的分析以及确定羽毛球着陆点的决策过程。性能是基于三个度量来评估的,即准确性,灵敏度和特异性。初始结果表明,该算法适用于低误差值。但是,在官方游戏中可以在官方游戏中完全实施之前,需要进一步的工程来改进拟议的ALS。

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