Fuzzy Dynamic Matching Approach for Multi-Feature Tracking

Detalhes bibliográficos
Autor(a) principal: Lopes, Nuno Vieira
Data de Publicação: 2009
Outros Autores: Couto, Pedro A., Bustince, Humberto, Melo-Pinto, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.8/3552
Resumo: Feature 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.
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spelling Fuzzy Dynamic Matching Approach for Multi-Feature TrackingComputer visionFeature trackingFuzzy logicFeature 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.IC-OnlineLopes, Nuno VieiraCouto, Pedro A.Bustince, HumbertoMelo-Pinto, Pedro2018-09-26T08:32:53Z2009-092009-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/3552engmetadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-17T15:47:25Zoai:iconline.ipleiria.pt:10400.8/3552Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:47:37.566468Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
title Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
spellingShingle Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
Lopes, Nuno Vieira
Computer vision
Feature tracking
Fuzzy logic
title_short Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
title_full Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
title_fullStr Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
title_full_unstemmed Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
title_sort Fuzzy Dynamic Matching Approach for Multi-Feature Tracking
author Lopes, Nuno Vieira
author_facet Lopes, Nuno Vieira
Couto, Pedro A.
Bustince, Humberto
Melo-Pinto, Pedro
author_role author
author2 Couto, Pedro A.
Bustince, Humberto
Melo-Pinto, Pedro
author2_role author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Lopes, Nuno Vieira
Couto, Pedro A.
Bustince, Humberto
Melo-Pinto, Pedro
dc.subject.por.fl_str_mv Computer vision
Feature tracking
Fuzzy logic
topic Computer vision
Feature tracking
Fuzzy logic
description Feature 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.
publishDate 2009
dc.date.none.fl_str_mv 2009-09
2009-09-01T00:00:00Z
2018-09-26T08:32:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.8/3552
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dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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