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Multi-resolution image analysis for vehicle detection

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Sistemas Inteligenteses
dc.contributor.authorHilario Gómez, Cristina
dc.contributor.authorCollado Hernáiz, Juan Manuel
dc.contributor.authorArmingol Moreno, José María
dc.contributor.authorEscalera Hueso, Arturo de la
dc.date.accessioned2010-03-03T09:23:43Z
dc.date.available2010-03-03T09:23:43Z
dc.date.issued2005-05
dc.descriptionProceeding of: Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005en
dc.description.abstractComputer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algorithm receives information from a road detection module some geometric restrictions can be applied. A multi-resolution approach is used to speed up the algorithm and work in realtime. Examples of real images are shown to validate the algorithm.en
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationPattern recognition and image analysis : Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part I, 2005, p. 579-586en
dc.identifier.doi10.1007/11492429_70
dc.identifier.isbn978-3-540-26153-7
dc.identifier.issn0302-9743 (Print)
dc.identifier.issn1611-3349 (Online)
dc.identifier.urihttps://hdl.handle.net/10016/7109
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesLecture notes in computer science, vol. 3522en
dc.relation.publisherversionhttp://dx.doi.org/10.1007/11492429_70
dc.rights© Springer-Verlag
dc.rights.accessRightsopen access
dc.subject.ecienciaRobótica e Informática Industriales
dc.titleMulti-resolution image analysis for vehicle detectionen
dc.typeconference output*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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