论文标题

现实生活中的足球分析中的计算机愿景的挑战和机会

Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics

论文作者

Bhargava, Neha, Cuzzolin, Fabio

论文摘要

在本文中,我们探讨了计算机视觉对体育分析的某些应用。体育分析涉及从体育数据语料库中的理解和发现模式。分析此类数据为球员(例如在足球比赛中)提供了重要的性能指标,这对于估计其健身和优势可能很有用。团队级别的统计数据也可以从此类分析中估算出来。本文主要关注计算机视频中体育视频分析所带来的一些挑战和机遇。具体来说,我们使用多摄像机设置作为框架来讨论机器学习算法的一些现实生活挑战。

In this paper, we explore some of the applications of computer vision to sports analytics. Sport analytics deals with understanding and discovering patterns from a corpus of sports data. Analysing such data provides important performance metrics for the players, for instance in soccer matches, that could be useful for estimating their fitness and strengths. Team level statistics can also be estimated from such analysis. This paper mainly focuses on some the challenges and opportunities presented by sport video analysis in computer vision. Specifically, we use our multi-camera setup as a framework to discuss some of the real-life challenges for machine learning algorithms.

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