论文标题
从专业人士那里学习：从广播录像中提取专业守门员技术
Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage
论文作者
论文摘要
作为一名业余守门员，踢基层足球，比顶级专业守门员更好地学习？在本文中，我们利用计算机视觉和机器学习模型，以较低级别的方式来评估专业人士的保存技术。我们使用从广播镜头中提取的3D身体姿势数据训练无监督的机器学习模型，以学习专业的守门员技术。然后，开发了一个“预期的保存”模型，我们可以从中确定在不同匹配环境中的最佳守门员技术。
As an amateur goalkeeper playing grassroots soccer, who better to learn from than top professional goalkeepers? In this paper, we harness computer vision and machine learning models to appraise the save technique of professionals in a way those at lower levels can learn from. We train an unsupervised machine learning model using 3D body pose data extracted from broadcast footage to learn professional goalkeeper technique. Then, an "expected saves" model is developed, from which we can identify the optimal goalkeeper technique in different match contexts.
