Team activity recognition in Association Football using a Bag-of-Words-based method
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Altres documents de l'autoria: Montoliu Colás, Raul; Martín Félez, Raúl; Torres-Sospedra, Joaquín; Martínez Usó, Adolfo
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comunitat-uji-handle3:10234/43643
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http://dx.doi.org/10.1016/j.humov.2015.03.007 |
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Team activity recognition in Association Football using a Bag-of-Words-based methodData de publicació
2015-06Editor
ElsevierCita bibliogràfica
MONTOLIU, Raúl, et al. Team activity recognition in Association Football using a Bag-of-Words-based method. Human movement science, 2015, vol. 41, p. 165-178.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://www.sciencedirect.com/science/article/pii/S0167945715000494Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
In this paper, a new methodology is used to perform team activity recognition and analysis in Association Football. It is based on pattern recognition and machine learning techniques. In particular, a strategy based ... [+]
In this paper, a new methodology is used to perform team activity recognition and analysis in Association Football. It is based on pattern recognition and machine learning techniques. In particular, a strategy based on the Bag-of-Words (BoW) technique is used to characterize short Football video clips that are used to explain the team’s performance and to train advanced classifiers in automatic recognition of team activities. In addition to the neural network-based classifier, three more classifier families are tested: the k-Nearest Neighbor, the Support Vector Machine and the Random Forest. The results obtained show that the proposed methodology is able to explain the most common movements of a team and to perform the team activity recognition task with high accuracy when classifying three Football actions: Ball Possession, Quick Attack and Set Piece. Random Forest is the classifier obtaining the best classification results. [-]
Publicat a
Human movement science, 2015, vol. 41Drets d'accés
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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