Machine Learning for Position Detection in Football
2019 6th Swiss Conference on Data Science (SDS)(2019)
摘要
In recent years, analytics became increasingly important in sports. Newly developed, wearable tracking devices allow football players to log position and motion data during a game. These data can be exploited for enhancing the performance of individual players and entire teams. We present different machine learning approaches to predict spatial football player positions, which serve for advanced tactical analysis.
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关键词
sport analytics, soccer, football, machine learning, random forest, gradient boosting, deep learning, convolutional neural networks, computer vision
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