Real-time spatio-temporal analysis of dynamic scenes in 3D soccer simulation

Tobias Warden, Andreas D. Lattner, Ubbo Visser

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

6 Scopus citations

Abstract

We propose a framework for spatio-temporal real-time analysis of dynamic scenes. It is designed to improve the grounding situation of autonomous agents in (simulated) physical domains. We introduce a knowledge processing pipeline ranging from relevance-driven compilation of a qualitative scene description to a knowledge-based detection of complex event and action sequences, conceived as a spatio-temporal pattern matching problem. A methodology for the formalization of motion patterns and their inner composition is introduced and applied to capture human expertise about domain-specific motion situations. We present extensive experimental results from the 3D soccer simulation that substantiate the online applicability of our approach under tournament conditions, based on 5 Hz a) precise and b) noisy/incomplete perception.

Original languageEnglish (US)
Title of host publicationRoboCup 2008
Subtitle of host publicationRobot Soccer World Cup XII
Pages366-378
Number of pages13
DOIs
StatePublished - Sep 28 2009
Event12th annual RoboCup International Symposium, RoboCup 2008 - Suzhou, China
Duration: Jul 15 2008Jul 18 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5399 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th annual RoboCup International Symposium, RoboCup 2008
CountryChina
CitySuzhou
Period7/15/087/18/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Warden, T., Lattner, A. D., & Visser, U. (2009). Real-time spatio-temporal analysis of dynamic scenes in 3D soccer simulation. In RoboCup 2008: Robot Soccer World Cup XII (pp. 366-378). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5399 LNAI). https://doi.org/10.1007/978-3-642-02921-9_32