Specialized ensemble of classifiers for traffic sign recognition

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dc.contributor.author Sesmero Lorente, María Paz
dc.contributor.author Alonso Weber, Juan Manuel
dc.contributor.author Gutiérrez Sánchez, Germán
dc.contributor.author Ledezma Espino, Agapito Ismael
dc.contributor.author Sanchis de Miguel, María Araceli
dc.date.accessioned 2011-01-11T11:09:18Z
dc.date.available 2011-01-11T11:09:18Z
dc.date.issued 2007
dc.identifier.bibliographicCitation Computational and ambient intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007. Springer, 2007, pp. 733-740
dc.identifier.isbn 978-3-540-73006-4
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10016/9937
dc.description Proceeding of: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastían, España, junio, 2007.
dc.description.abstract Several 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.sponsorship The research reported here has been supported by the Ministry of Education and Science under project TRA2004-07441-C03-C02.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture notes in computer science, vol. 4507
dc.rights Springer-Verlag Berlin Heidelberg
dc.subject.other Traffic Sign Recognition
dc.subject.other Artificial Neural Networks
dc.subject.other Feature Selection
dc.subject.other Binary Classifier
dc.title Specialized ensemble of classifiers for traffic sign recognition
dc.type conferenceObject
dc.type bookPart
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-540-73007-1_88
dc.subject.eciencia Informática
dc.identifier.doi 10.1007/978-3-540-73007-1_88
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.relation.eventdate June 20-22, 2007
dc.relation.eventnumber 9
dc.relation.eventplace San Sebastían (España)
dc.relation.eventtitle International Work-Conference on Artificial Neural Networks, IWANN 2007
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 733
dc.identifier.publicationlastpage 740
dc.identifier.publicationtitle Computational and ambient intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007
dc.identifier.publicationvolume 4507
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