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Part based pedestrian detection based on logic inference

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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.authorOlmeda Reino, Daniel
dc.contributor.authorArmingol Moreno, José María
dc.contributor.authorEscalera Hueso, Arturo de la
dc.date.accessioned2016-09-26T07:58:25Z
dc.date.available2016-09-26T07:58:25Z
dc.date.issued2013
dc.description.abstractThis paper presents an approach on detection of largely occluded pedestrians. From a pair of synchronized cameras in the Visible Light (VL) and Far Infrared (FIR) spectrum individual detections are combined and final confidence is inferred using a small set of logic rules via a Markov Logic Network. Pedestrians not entirely contained in the image or occluded are detected based on the binary classification on subparts of the detection window. The presented method is applied to a pedestrian classification problem in urban environments. The classifier has been tested in an Intelligent Transportation System (ITS) platform as part of an Advanced Driver Assistance Systems (ADAS).en
dc.description.sponsorshipThis work was supported by the Spanish Government through the Cicyt projects FEDORA (GRANT TRA2010-20225-C03- 01) and Driver Distraction Detector System (GRANT TRA2011-29454-C03-02), and by the Comunidad de Madrid through the project SEGVAUTO (S2009/DPI- 1509).en
dc.format.extent7
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIntelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. : Ieee - The Institute Of Electrical And Electronics Engineers, Inc. Pp. 1364-1369en
dc.identifier.isbn978-1-4799-2914-6
dc.identifier.publicationfirstpage1364
dc.identifier.publicationlastpage1369
dc.identifier.publicationtitleIntelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference onen
dc.identifier.urihttps://hdl.handle.net/10016/23632
dc.identifier.uxxiCC/0000021784
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate6-9 Oct. 2013
dc.relation.eventplaceThe Hague, The Netherlandsen
dc.relation.eventtitle16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)en
dc.relation.projectIDGobierno de España. TRA2010-20225-C03-01es
dc.relation.projectIDGobierno de España. TRA2013-48314-C3-1-Res
dc.relation.projectIDGobierno de España. TRA2011-29454-C03-02es
dc.relation.projectIDComunidad de Madrid. S2009/DPI- 1509es
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ITSC.2013.6728421
dc.rights© 2013 IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaRobótica e Informática Industriales
dc.subject.otherFinite impulse response filtersen
dc.subject.otherSupport vector machinesen
dc.subject.otherVehiclesen
dc.subject.otherDatabasesen
dc.subject.otherCamerasen
dc.subject.otherMarkov processesen
dc.subject.otherHistogramsen
dc.titlePart based pedestrian detection based on logic inferenceen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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