A fast model-based vision system for a robot soccer team

Página do item simplificado
dc.contributor.authorMARTINS, M. F.
dc.contributor.authorFlavio Tonidandel
dc.contributor.authorReinaldo Bianchi
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-9097-827X
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-0345-668X
dc.date.accessioned2022-01-12T22:05:41Z
dc.date.available2022-01-12T22:05:41Z
dc.date.issued2006-11-17
dc.description.abstractRobot Soccer is a challenging research domain for Artificial Intelligence, which was proposed in order to provide a long-term problem in which researchers can investigate the construction of systems involving multiple agents working together in a dynamic, uncertain and probabilistic environment, to achieve a specific goal. This work focuses on the design and implementation of a fast and robust computer vision system for a team of small size robot soccer players. The proposed system combines artificial intelligence and computer vision techniques to locate the mobile robots and the ball, based on global vision images. To increase system performance, this work proposes a new approach to interpret the space created by a well-known computer vision technique called Hough Transform, as well as a fast object recognition method based on constraint satisfaction techniques. The system was implemented entirely in software using an off-the-shelf frame grabber. Experiments using real time image capture allows to conclude that the implemented system are efficient and robust to noises and lighting variation, being capable of locating all objects in each frame, computing their position and orientation in less than 20 milliseconds. © Springer-Verlag Berlin Heidelberg 2006.
dc.description.firstpage704
dc.description.lastpage714
dc.description.volume4293 LNAI
dc.identifier.citationMARTINS, M. F.; TONIDANDEL, F.; BIANCHI, R. A fast model-based vision system for a robot soccer team. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 704-714, Nov. 2017.
dc.identifier.doi10.1007/11925231_67
dc.identifier.issn1611-3349
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4356
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsAcesso Restrito
dc.subject.otherlanguageArtificial intelligence
dc.subject.otherlanguageComputer vision
dc.subject.otherlanguageIntelligent robotic systems
dc.titleA fast model-based vision system for a robot soccer team
dc.typeArtigo de evento
fei.scopus.citations1
fei.scopus.eid2-s2.0-33845952185
fei.scopus.subjectGlobal vision images
fei.scopus.subjectHough Transform
fei.scopus.subjectIntelligent robotic systems
fei.scopus.updated2024-12-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33845952185&origin=inward
Arquivos
Coleções
Artigos