StreamTeam-Football: Analyzing Football Matches in Real-Time on the Basis of Position Streams

2020 IEEE International Conference on Big Data (Big Data)(2020)

引用 3|浏览5
暂无评分
摘要
In recent years, Big Data has become an important topic in many areas of our daily lives, including sports. Almost all professional clubs analyze matches to improve the performance of their teams. However, events are still predominantly captured manually, although many sensor-based and video-based tracking systems exist which provide the positions of the players and the ball in real-time. This manual process is tedious and error-prone. In this paper, we present STREAMTEAM-FOOTBALL, an open source football analysis application, that fills this gap. STREAMTEAM-FOOTBALL allows to analyze football matches fully automatically and in real-time on the basis of tracked position data using a data stream analysis approach. Our evaluation confirms the effectiveness of our automated analysis.
更多
查看译文
关键词
Big Data Mining,Data Stream Analysis,Complex Event Detection,Team Sports Analysis,Football Analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要