Abstract
A qualitative representation of motion patterns is presented that forms an interface between low-level concepts of behaviours and high-level concepts of reasoning. How the patterns can be employed for characterising interaction patterns in soccer is demonstrated using the simulation league; also, specific soccer scenes from real games prove their adequacy. The advantages of our approach are: it supports the limited abilities of robots in the different RoboCup leagues, i. e. it relies on coarse positional distinctions that are reliably obtainable and easily translated into action; the analysis is directly derived from raw data without the need for any preprocessing steps; both situations can be dealt with, egocentric viewpoints of individuals and the bird’s eye view; the approach is independent on the domain, i. e. generalises to arbitrary spatiotemporal interaction patterns.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
André, E., Binsted, K., Tanaka-Ishii, K., Luke, S., Herzog, G., Rist, T.: Three robocup simulation league commentator systems. AI Magazine 22(1), 57–66 (2000)
Bench-Capon, T.J.M., Dunne, P.E.: Argumentation in artificial intelligence. Artif. Intell. 171(10–15), 619–641 (2007)
Bode, G.: WM Analyse. Fussball training 24, 39–47 (2006)
Fédération Internationale de Football Association (FIFA). Laws of the game 2007/2008 (2007)
Gottfried, B.: Representing short-term observations of moving objects by a simple visual language. Journal of Visual Languages and Computing (2007)
Gottfried, B., Witte, J. (Sprado). Representing spatial activities by spatially contextualised motion patterns. In: Lakemeyer, G., Sklar, E., Sorrenti, D.G., Takahashi, T. (eds.) RoboCup 2006: Robot Soccer World Cup X. LNCS (LNAI), vol. 4434, pp. 330–337. Springer, Heidelberg (2007)
Hirano, S., Tsumoto, S.: Finding interesting pass patterns from soccer game records. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) PKDD 2004. LNCS, vol. 3202, pp. 209–218. Springer, Heidelberg (2004)
Kautz, H., Allen, J.: Generalized plan recognition. In: AAAI 1986, pp. 32–37. AAAI Press, Menlo Park (1986)
Kiefer, P., Schlieder, C.: Exploring context-sensitivity in spatial intention recognition. In: Gottfried, B. (ed.) 1st Workshop on Behaviour Monitoring and Interpretation (BMI 2007), vol. 296, pp. 102–116. CEURS Proceedings (2007)
Laube, P., Imfeld, S., Weibel, R.: Discovering relative motion patterns in groups of moving point objects. International Journal of Geographical Information Science 19(6), 639–668 (2005)
Miene, A., Visser, U., Herzog, O.: Recognition and prediction of motion situations based on a qualitative motion description. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.) RoboCup 2003. LNCS (LNAI), vol. 3020, pp. 77–88. Springer, Heidelberg (2004)
Musto, A., Stein, K., Eisenkolb, A., Röfer, T., Brauer, W., Schill, K.: From motion observation to qualitative motion representation. In: Habel, C., Brauer, W., Freksa, C., Wender, K.F. (eds.) Spatial Cognition 2000. LNCS, vol. 1849, pp. 115–126. Springer, Heidelberg (2000)
Riedmiller, M., Gabel, T.: Brainstormers 2D - team description 2007. In: Visser, U., Ribeiro, F., Ohashi, T., Dellaert, F. (eds.) RoboCup 2007: Robot Soccer World Cup XI. LNCS (LNAI), vol. 5001. Springer, Heidelberg (2008)
Visser, U., Weland, H.: Using online learning to analyze the opponent’s behavior. In: Kaminka, G.A., Lima, P.U., Rojas, R. (eds.) RoboCup 2002. LNCS, vol. 2752, pp. 78–93. Springer, Heidelberg (2003)
Zimmermann, K., Freksa, C.: Qualitative Spatial Reasoning Using Orientation, Distance, and Path Knowledge. Applied Intelligence 6, 49–58 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sprado, J., Gottfried, B. (2009). What Motion Patterns Tell Us about Soccer Teams. In: Iocchi, L., Matsubara, H., Weitzenfeld, A., Zhou, C. (eds) RoboCup 2008: Robot Soccer World Cup XII. RoboCup 2008. Lecture Notes in Computer Science(), vol 5399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02921-9_53
Download citation
DOI: https://doi.org/10.1007/978-3-642-02921-9_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02920-2
Online ISBN: 978-3-642-02921-9
eBook Packages: Computer ScienceComputer Science (R0)