Real-Time Football Analysis with StreamTeam: Demo

L. Probst, Frederik Brix, H. Schuldt, M. Rumo
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引用次数: 11

Abstract

In the last years, the analysis of data in sports has received considerable attention, especially due to the wide availability of unobtrusive wearable sensors. While most approaches focus on the (post-hoc) monitoring of individuals, a big and still largely unsolved challenge is the monitoring of the tactical behavior and tactical compliance of entire teams in real-time. In this paper, we introduce STREAMTEAM, a novel and extensible workflow-based approach to analyze data streams and to detect complex team events in real-time. We show the application of STREAMTEAM to data sets coming from sensors attached to players of football teams.
实时足球分析与StreamTeam:演示
在过去的几年里,体育数据的分析受到了相当大的关注,特别是由于不显眼的可穿戴传感器的广泛使用。虽然大多数方法都关注于对个人的(事后)监控,但一个很大且尚未解决的挑战是实时监控整个团队的战术行为和战术遵从性。在本文中,我们介绍了STREAMTEAM,这是一种新颖且可扩展的基于工作流的方法,用于分析数据流并实时检测复杂的团队事件。我们展示了STREAMTEAM对来自足球队球员身上的传感器的数据集的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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