Abstract
Novel estimation, detection and identification techniques have been recently applied on sports, providing the cartesian positional information of players over time. This information has been seen as vital within sports science’s literature, so as to propose new computational tactical metrics that may allow to inspect the spatio-temporal relationship between teammates. Such technological approaches can improve the understanding of the collective match, providing to coaches and analysts a real-time augmented perception of the game. In spite of this, this study aims to identify, and computational describe, the most promising tactical metrics developed over the last few years and characterize their practical applications. Moreover, a technological approach that integrates these metrics will be discussed, focusing on the data retrieval, processing and visualization. Therefore, concepts such as Augmented Reality, Cloud Computing and Human-computer Interaction are considered to give the first steps toward a football game analysis system.
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Clemente, F.M., Couceiro, M.S., Martins, F.M.L., Mendes, R.S., Figueiredo, A.J. (2014). Practical Implementation of Computational Tactical Metrics for the Football Game. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8579. Springer, Cham. https://doi.org/10.1007/978-3-319-09144-0_49
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DOI: https://doi.org/10.1007/978-3-319-09144-0_49
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