The National Football League and Amazon Web Services teamed up to develop the best sports injury surveillance and mitigation program via the Kaggle competition. Through which the NFL wants to assign specific players to each helmet, which would help accurately identify each player's "exposures" throughout a football play. We are trying to implement a computer vision based ML algorithms capable of assigning detected helmet impacts to correct players via tracking information. Our paper will explain the approach to automatically track player helmets and their collisions. This will also allow them to review previous plays and explore the trends in exposure over time.
翻译：全国足球联盟和亚马逊网络服务组织通过Kaggle竞赛合作制定了最佳体育伤害监控和减轻计划。 通过这一计划,NFL希望为每只头盔指定特定的球员,这将有助于准确识别每个球员在整个足球赛中“接触”的“接触”。 我们正在尝试实施基于计算机的 ML 算法,通过跟踪信息,将检测到的头盔撞击功能用于纠正球员。我们的论文将解释自动跟踪玩家头盔及其碰撞的方法。这也将允许他们审查以往的比赛,并探索长期接触趋势。
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