Abstract
The main purpose of this work is the recognition of soccer team formations by considering a dynamic structural analysis. Traditionally, the recognition of team formations is carried-out without taking into account an expressive representation of relations between players. This kind of approaches are not able to manage the constant changes occurring in the soccer domain, which results in an inefficient way of recognizing formations immerse in dynamic environments. It is presented in this work an efficient model to recognize formations based on a representation that takes into account multiple relations among defender, midfielder and forward players. The proposed model has been tested with different teams in off-line mode showing that it is able to recognize the different main formations used by a team during a match.
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Ayanegui-Santiago, H. (2009). Recognizing Team Formations in Multiagent Systems: Applications in Robotic Soccer. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_14
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DOI: https://doi.org/10.1007/978-3-642-04441-0_14
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