Hierarchical fuzzy logic based approach for object tracking
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.8/3542 |
Resumo: | In 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. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Hierarchical fuzzy logic based approach for object trackingObject trackingFuzzy logicRastreio de objectoLógica difusaIn 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.Elsevier Science Publishers B. V. AmsterdamIC-OnlineLopes, Nuno VieiraCouto, Pedro M.Jurio, AranzazuMelo-Pinto, Pedro2018-09-19T15:22:26Z2013-122013-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/3542eng0950-705110.1016/j.knosys.2013.09.014info: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:RCAAP2024-01-17T15:47:23Zoai:iconline.ipleiria.pt:10400.8/3542Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:47:37.115951Repositório 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 |
Hierarchical fuzzy logic based approach for object tracking |
title |
Hierarchical fuzzy logic based approach for object tracking |
spellingShingle |
Hierarchical fuzzy logic based approach for object tracking Lopes, Nuno Vieira Object tracking Fuzzy logic Rastreio de objecto Lógica difusa |
title_short |
Hierarchical fuzzy logic based approach for object tracking |
title_full |
Hierarchical fuzzy logic based approach for object tracking |
title_fullStr |
Hierarchical fuzzy logic based approach for object tracking |
title_full_unstemmed |
Hierarchical fuzzy logic based approach for object tracking |
title_sort |
Hierarchical fuzzy logic based approach for object tracking |
author |
Lopes, Nuno Vieira |
author_facet |
Lopes, Nuno Vieira Couto, Pedro M. Jurio, Aranzazu Melo-Pinto, Pedro |
author_role |
author |
author2 |
Couto, Pedro M. Jurio, Aranzazu 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 M. Jurio, Aranzazu Melo-Pinto, Pedro |
dc.subject.por.fl_str_mv |
Object tracking Fuzzy logic Rastreio de objecto Lógica difusa |
topic |
Object tracking Fuzzy logic Rastreio de objecto Lógica difusa |
description |
In 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. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12 2013-12-01T00:00:00Z 2018-09-19T15:22:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.8/3542 |
url |
http://hdl.handle.net/10400.8/3542 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0950-7051 10.1016/j.knosys.2013.09.014 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science Publishers B. V. Amsterdam |
publisher.none.fl_str_mv |
Elsevier Science Publishers B. V. Amsterdam |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799136970180395008 |