RT Conference Proceedings
T1 Classifying efficiently the behavior of a Soccer team
A1 Iglesias Martínez, José Antonio
A1 Ledezma Espino, Agapito Ismael
A1 Sanchis de Miguel, María Araceli
A1 Kaminka, Gal
AB In order to make a good decision, humans usually try to predict the behavior of others. By this prediction, many different tasks can be performed, such as to coordinate with them, to assist them or to predict their future behavior. In competitive domains, to recognize the behavior of the opponent can be very advantageous. In this paper, an approach for creating automatically the model of the behavior of a soccer team is presented. This approach is an effective and notable improvement of a previous work. As the actions performed by a soccer team are sequential, this sequentiality should be considered in the modeling process. Therefore, the observations of a soccer team in a dynamic, complex and continuous multi-variate world state are transformed into a sequence of atomic behaviors. Then, this sequence is analyzed in order to find out a model that defines the team behavior. Finally, the classification of an observed team is done by using a statistical test.
PB IOS Press
SN 978-1-58603-887-8 (print)
SN 978-1-60750-351-4 (online)
YR 2008
FD 2008
LK https://hdl.handle.net/10016/10597
UL https://hdl.handle.net/10016/10597
LA eng
NO Proceeding of: 10th International Conference on Intelligent Autonomous Systems (IAS 2008), Baden Baden, Germany, July 23-25th, 2008.
NO This work has been supported by the Spanish Ministry of Education and Science under project TRA-2007-67374-C02-02.
DS e-Archivo
RD 17 jul. 2024