Recognition and prediction of motion situations based on a qualitative motion description

Andrea Miene, Ubbo Visser, Otthein Herzog

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

High-level online methods become more and more attractive with the increasing abilities of players and teams in the simulation league. As in real soccer, the recognition and prediction of strategies (e.g. opponent's formation), tactics (e.g. wing play, offside traps), and situations (e.g. passing behavior) is important. In 2001, we proposed an approach where spatio-temporal relations between objects are described and interpreted in order to detect some of the above mentioned situations. In this paper we propose an extension of this approach that enables us to both interpret and predict complex situations. It is based on a qualitative description of motion scenes and additional background knowledge. The method is applicable to a variety of situations. Our experiment consists of numerous offside situations in simulation league games. We discuss the results in detail and conclude that this approach is valuable for future use because it is (a) possible to use the method in real-time, (b) we can predict situations giving us the option to refine agents actions in a game, and (c) it is domain independent in general.

Original languageEnglish (US)
Title of host publicationRoboCup 2003
Subtitle of host publicationRobot Soccer World Cup VII
EditorsDaniel Polani, Brett Browning, Andrea Bonarini, Kazuo Yoshida
PublisherSpringer Verlag
Pages77-88
Number of pages12
ISBN (Print)3540224432, 9783540224433
DOIs
StatePublished - 2004
Event7th Robot World Cup Soccer and Rescue Competitions and Conferences, RoboCup 2003 - Padua, Italy
Duration: Jul 2 2003Jul 11 2003

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3020
ISSN (Print)0302-9743

Other

Other7th Robot World Cup Soccer and Rescue Competitions and Conferences, RoboCup 2003
CountryItaly
CityPadua
Period7/2/037/11/03

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Miene, A., Visser, U., & Herzog, O. (2004). Recognition and prediction of motion situations based on a qualitative motion description. In D. Polani, B. Browning, A. Bonarini, & K. Yoshida (Eds.), RoboCup 2003: Robot Soccer World Cup VII (pp. 77-88). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 3020). Springer Verlag. https://doi.org/10.1007/978-3-540-25940-4_7