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Fuzzy Dynamic Matching Approach for Multi-Feature Tracking

dc.contributor.authorLopes, Nuno Vieira
dc.contributor.authorCouto, Pedro A.
dc.contributor.authorBustince, Humberto
dc.contributor.authorMelo-Pinto, Pedro
dc.date.accessioned2018-09-26T08:32:53Z
dc.date.available2018-09-26T08:32:53Z
dc.date.issued2009-09
dc.description.abstractFeature tracking is one of the most challenging and important tasks in computer vision playing an important role in several areas. In this paper, a new approach for multi feature tracking is presented. Information from the image gray levels and the features movement model is aggregated through the use of fuzzy sets with a fuzzy inference engine to give the final output. Experimental results are presented showing that the approach successfully copes with usual difficulties within this problem.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.8/3552
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectComputer visionpt_PT
dc.subjectFeature trackingpt_PT
dc.subjectFuzzy logicpt_PT
dc.titleFuzzy Dynamic Matching Approach for Multi-Feature Trackingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlacePamplonapt_PT
oaire.citation.endPage250pt_PT
oaire.citation.startPage245pt_PT
oaire.citation.titleProceedings of EUROFUSE 2009 Workshop: Preference modelling and decision analysispt_PT
person.familyNameVieira Lopes
person.givenNameNuno
person.identifier.ciencia-idE117-67AC-0B45
person.identifier.orcid0000-0002-2232-1839
person.identifier.scopus-author-id26031536700
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0d39fc9c-397b-4d8a-857a-3d4da42277a6
relation.isAuthorOfPublication.latestForDiscovery0d39fc9c-397b-4d8a-857a-3d4da42277a6

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