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English(EN) Deep Learning Based Illegal Bowling Action Detection

AI系统利用计算机视觉检测板球中的非法投球动作

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个使用计算机视觉的深度学习系统，用于检测板球中的非法投球动作。该系统分析投球手在肩部和释放帧之间的手臂角度，将超过15度阈值的投球标记为可能非法。这种新颖的方法在62个视频的数据集上进行了测试，旨在为公平竞赛提供实时监控，但需要对更大、更多样化的数据集进行进一步验证以确保普遍适用性。 AI

影响 通过提供自动化的实时裁判来增强体育比赛的公平性。

排序理由 详细介绍新颖AI应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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AI系统利用计算机视觉检测板球中的非法投球动作

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详细介绍新颖AI应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Debopom Sutradhar, Niful Islam, Sudipto Mondal, Tasmima Hossain Jamim, Jubaer Muhammad Shufol, Swakkhar Shatabda ·

    基于深度学习的非法保龄球动作检测

    arXiv:2610.07223v1 Announce Type: new Abstract: Cricket, often referred to as the "gentleman's game," adheres to a strict rule set for both batsmen and bowlers, where each delivery can significantly impact the match outcome. Detecting illegal bowling actions is crucial for mainta…

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