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Specialized ensemble of classifiers for traffic sign recognition

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)es
dc.contributor.authorSesmero Lorente, María Paz
dc.contributor.authorAlonso Weber, Juan Manuel
dc.contributor.authorGutiérrez Sánchez, Germán
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2011-01-11T11:09:18Z
dc.date.available2011-01-11T11:09:18Z
dc.date.issued2007
dc.descriptionProceeding of: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastían, España, junio, 2007.
dc.description.abstractSeveral complex problems have to be solved in order to build Advanced Driving Assistance Systems. Among them, an important problem is the detection and classification of traffic signs, which can appear at any position within a captured image. This paper describes a system that employs independent modules to classify several prohibition road signs. Combining the predictions made by the set of classifiers, a unique final classification is achieved. To reduce the computational complexity and to achieve a real-time system, a previous input feature selection is performed. Experimental evaluation confirms that using this feature selection allows a significant input data reduction without an important loss of output accuracy.
dc.description.sponsorshipThe research reported here has been supported by the Ministry of Education and Science under project TRA2004-07441-C03-C02.
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationComputational and ambient intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007. Springer, 2007, pp. 733-740
dc.identifier.doi10.1007/978-3-540-73007-1_88
dc.identifier.isbn978-3-540-73006-4
dc.identifier.issn0302-9743
dc.identifier.publicationfirstpage733
dc.identifier.publicationlastpage740
dc.identifier.publicationtitleComputational and ambient intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007
dc.identifier.publicationvolume4507
dc.identifier.urihttps://hdl.handle.net/10016/9937
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventdateJune 20-22, 2007
dc.relation.eventnumber9
dc.relation.eventplaceSan Sebastían (España)
dc.relation.eventtitleInternational Work-Conference on Artificial Neural Networks, IWANN 2007
dc.relation.ispartofseriesLecture notes in computer science, vol. 4507
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-540-73007-1_88
dc.rightsSpringer-Verlag Berlin Heidelberg
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherTraffic Sign Recognition
dc.subject.otherArtificial Neural Networks
dc.subject.otherFeature Selection
dc.subject.otherBinary Classifier
dc.titleSpecialized ensemble of classifiers for traffic sign recognition
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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