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Computer vision approach to automatic linesman

机译:自动巡边员的计算机视觉方法

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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,在任何官方羽毛球比赛中都没有实现自动巡边员系统(ALS)。 ALS对于协助裁判员/裁判在争端中做出更好的判断非常重要。就像网球上的鹰眼系统一样,人们期望ALS在要求高标准裁判质量的大型比赛中扮演更重要的角色,例如奥运会,羽毛球世锦赛(BWF)等。在法院线边界之内或之外跟踪并确定其着陆点。它涉及色调空间中的背景扣除方法,analysis球轨迹的分析以及确定determine球着陆点的决策过程。基于三个指标来评估性能,即准确性,敏感性和特异性。初步结果表明,该算法在低误差值的情况下效果很好。但是,还需要进一步的工作来完善拟议的ALS,然后才能在正式游戏中完全实施。

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