Evaluating the performance of two computer vision techniques for a mobile humanoid agent acting at Robocup kidsized soccer league

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dc.contributor.authorVILAO, C. O.
dc.contributor.authorFERREIRA, V. N.
dc.contributor.authorCELIBERTO, L. A.
dc.contributor.authorReinaldo Bianchi
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-9097-827X
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-9097-827X
dc.date.accessioned2022-01-12T21:59:23Z
dc.date.available2022-01-12T21:59:23Z
dc.date.issued2016-10-31
dc.description.abstract© Springer International Publishing AG 2016.A humanoid robot capable of playing soccer needs to identify several objects in the soccer field in order to play soccer. The robot has to be able to recognize the ball, teammates and opponents, inferring information such as their distance and estimated location. In order to achieve this key requisite, this paper analyzes two descriptor algorithms, HAAR and HOG, so that one of them can be used for recognizing humanoid robots with less false positives alarms and with best frame per second rate. They were used with their respective classical classifiers, AdaBoost and SVM. As many different robots are available in RoboCup domain, the descriptor needs to describe features in a way that they can be distinguished from the background at the same time the classification has to have a good generalization capability. Although some limitations appeared in tests, the results were beyond expectations. Given the results, the chosen descriptor should be able to identify a mainly white-ball, which is clearly a simpler object. The results for ball detection were also quite interesting.
dc.description.firstpage1
dc.description.lastpage19
dc.description.volume619
dc.identifier.citationVILAO, C. O.; FERREIRA, V. N.; CELIBERTO, L. A.; BIANCHI, R. Evaluating the performance of two computer vision techniques for a mobile humanoid agent acting at Robocup kidsized soccer league. Communications in Computer and Information Science, v. 619, p. 1-19, Oct. 2016.
dc.identifier.doi10.1007/978-3-319-47247-8_1
dc.identifier.issn1865-0929
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3927
dc.relation.ispartofCommunications in Computer and Information Science
dc.rightsAcesso Restrito
dc.subject.otherlanguageHumanoid robots
dc.subject.otherlanguageMonocular vision
dc.subject.otherlanguageObject tracking
dc.titleEvaluating the performance of two computer vision techniques for a mobile humanoid agent acting at Robocup kidsized soccer league
dc.typeArtigo de evento
fei.scopus.citations0
fei.scopus.eid2-s2.0-84992702663
fei.scopus.subjectBall detection
fei.scopus.subjectComputer vision techniques
fei.scopus.subjectFalse positive
fei.scopus.subjectGeneralization capability
fei.scopus.subjectHumanoid agents
fei.scopus.subjectHumanoid robot
fei.scopus.subjectMonocular vision
fei.scopus.subjectObject Tracking
fei.scopus.updated2024-12-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992702663&origin=inward
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