TSRS - A new approach for traffic sign recognition using the sift algorithm

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of Western São Paulo (Unoeste)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorSilva, Francisco A.-
Autor(es): dc.creatorPereira, Danillo R.-
Autor(es): dc.creatorSilva, João F. C. [UNESP]-
Autor(es): dc.creatorArtero, Almir O. [UNESP]-
Autor(es): dc.creatorPiteri, Marco A. [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:27:33Z-
Data de disponibilização: dc.date.available2022-02-22T00:27:33Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.4090/juee.2019.v13n1.059068-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/199511-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/199511-
Descrição: dc.descriptionThis paper proposes a new approach for traffic sign recognition using images captured by a low-cost mapping system. The proposed approach applies the SIFT algorithm to extract keypoint features that are used to evaluate the correspondences between a road image containing one or more plates and the images of traffic signs (templates). The BBF algorithm was used to efficiently evaluate the correspondence between the SIFT features. Finally, we propose a new algorithm to filter only the pairs of keypoints (image-template) that are compatible as well as the orientation and positioning.-
Descrição: dc.descriptionDepartment of Computer Science University of Western São Paulo (Unoeste)-
Descrição: dc.descriptionDepartment of Cartography Faculty of Science and Technology São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science Faculty of Science and Technology São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Cartography Faculty of Science and Technology São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science Faculty of Science and Technology São Paulo State University (Unesp)-
Formato: dc.format59-68-
Idioma: dc.languageen-
Relação: dc.relationJournal of Urban and Environmental Engineering-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCharacter recognition-
Palavras-chave: dc.subjectRANSAC-
Palavras-chave: dc.subjectSIFT-
Palavras-chave: dc.subjectTraffic sign recognition-
Título: dc.titleTSRS - A new approach for traffic sign recognition using the sift algorithm-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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