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

7 Scopus citations


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
Number of pages13
StatePublished - 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


Other12th annual RoboCup International Symposium, RoboCup 2008

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Real-time spatio-temporal analysis of dynamic scenes in 3D soccer simulation'. Together they form a unique fingerprint.

Cite this