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Hierarchical fuzzy logic based approach for object tracking

2013-12Artigo científico Acesso restrito
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorLopes, Nuno Vieira
dc.contributor.authorCouto, Pedro
dc.contributor.authorJurio, Aranzazu
dc.contributor.authorMelo-Pinto, Pedro
dc.date.accessioned2026-03-18T14:48:05Z
dc.date.available2026-03-18T14:48:05Z
dc.date.issued2013-12
dc.description.abstractIn this paper a novel tracking approach based on fuzzy concepts is introduced. A methodology for both single and multiple object tracking is presented. The aim of this methodology is to use these concepts as a tool to, while maintaining the needed accuracy, reduce the complexity usually involved in object tracking problems. Several dynamic fuzzy sets are constructed according to both kinematic and non-kinematic properties that distinguish the object to be tracked. Meanwhile kinematic related fuzzy sets model the object’s motion pattern, the non-kinematic fuzzy sets model the object’s appearance. The tracking task is performed through the fusion of these fuzzy models by means of an inference engine. This way, object detection and matching steps are performed exclusively using inference rules on fuzzy sets. In the multiple object methodology, each object is associated with a confidence degree and a hierarchical implementation is performed based on that confidence degree.eng
dc.description.sponsorshipThis work is supported by European Union Funds (FEDER/COMPETE– Operational Competitiveness Programme) and by national funds (FCT – Portuguese Foundation for Science and Technology) under the project FCOMP-01-0124-FEDER-022692.
dc.identifier.citationNuno Vieira Lopes, Pedro Couto, Aranzazu Jurio, Pedro Melo-Pinto, Hierarchical fuzzy logic based approach for object tracking, Knowledge-Based Systems, Volume 54, 2013, Pages 255-268, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2013.09.014.
dc.identifier.doi10.1016/j.knosys.2013.09.014
dc.identifier.issn0950-7051
dc.identifier.urihttp://hdl.handle.net/10400.8/15910
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S095070511300292X?via%3Dihub
dc.relation.ispartofKnowledge-Based Systems
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFuzzy logic
dc.subjectDynamic fuzzy sets
dc.subjectInference engine
dc.subjectHierarchical
dc.subjectMultiple object tracking
dc.titleHierarchical fuzzy logic based approach for object trackingeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage268
oaire.citation.startPage255
oaire.citation.titleKnowledge-Based Systems
oaire.citation.volume54
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameVieira Lopes
person.givenNameNuno
person.identifier.ciencia-idE117-67AC-0B45
person.identifier.orcid0000-0002-2232-1839
person.identifier.scopus-author-id26031536700
relation.isAuthorOfPublication0d39fc9c-397b-4d8a-857a-3d4da42277a6
relation.isAuthorOfPublication.latestForDiscovery0d39fc9c-397b-4d8a-857a-3d4da42277a6

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