检测第三裁判判罚及板球自动计分系统

Md. Kowsher, M. A. Alam, M. J. Uddin, Faisal Ahmed, M. Ullah, Md. Rafiqul Islam
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引用次数: 15

摘要

目前,板球无疑是世界上最有趣的运动之一,尤其是在南亚地区。由于人是容易犯错误的,有时一个裁判也会犯错误,而第三个裁判要花一定的时间才能做出准确的审查决定。人工智能和计算机视觉这两个不同的领域已经成为板球分析和决策的热门领域。最近几天,使用不同类型的计算机视觉程序来探索几个板球案例并自动做出决定已经变得非常开放。在本文中,我们提出了一种基于卷积神经网络(CNN)和Inception V3的分类方法,用于自动展开裁判信号检测等第三裁判和计分系统的判罚。我们还提出了有助于提高CNN性能的深度CNN技术。
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Detecting Third Umpire Decisions & Automated Scoring System of Cricket
For the time being, Cricket is an indisputably one of the most interesting game in the world, especially in the territory of South Asian. As human beings are prone to error, sometimes errors have happened to an umpire and about a constant time is taken by the third umpire for an exact decision of a review. The two different domains artificial intelligence and computer vision have become pop in cricket analysis and decision making. Using different types of computer vision’s procedures in exploring several Cricket cases and automatically turning into decisions have become exoteric in recent days. In this research paper, we have propounded a classification method by the aids of Convolutional Neural Network (CNN) with Inception V3 in order to automatically unroll the decisions of third umpire and scoring system such as umpire signal detection. We have also proposed the deep CNN technique that aids to increase the performance of CNN.
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