Publication: Part based pedestrian detection based on logic inference
dc.affiliation.dpto | UC3M. Departamento de Ingeniería de Sistemas y Automática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Laboratorio de Sistemas Inteligentes | es |
dc.contributor.author | Olmeda Reino, Daniel | |
dc.contributor.author | Armingol Moreno, José María | |
dc.contributor.author | Escalera Hueso, Arturo de la | |
dc.date.accessioned | 2016-09-26T07:58:25Z | |
dc.date.available | 2016-09-26T07:58:25Z | |
dc.date.issued | 2013 | |
dc.description.abstract | This 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.sponsorship | This 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.extent | 7 | |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on. : Ieee - The Institute Of Electrical And Electronics Engineers, Inc. Pp. 1364-1369 | en |
dc.identifier.isbn | 978-1-4799-2914-6 | |
dc.identifier.publicationfirstpage | 1364 | |
dc.identifier.publicationlastpage | 1369 | |
dc.identifier.publicationtitle | Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on | en |
dc.identifier.uri | https://hdl.handle.net/10016/23632 | |
dc.identifier.uxxi | CC/0000021784 | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.eventdate | 6-9 Oct. 2013 | |
dc.relation.eventplace | The Hague, The Netherlands | en |
dc.relation.eventtitle | 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) | en |
dc.relation.projectID | Gobierno de España. TRA2010-20225-C03-01 | es |
dc.relation.projectID | Gobierno de España. TRA2013-48314-C3-1-R | es |
dc.relation.projectID | Gobierno de España. TRA2011-29454-C03-02 | es |
dc.relation.projectID | Comunidad de Madrid. S2009/DPI- 1509 | es |
dc.relation.publisherversion | http://dx.doi.org/10.1109/ITSC.2013.6728421 | |
dc.rights | © 2013 IEEE | |
dc.rights.accessRights | open access | |
dc.subject.eciencia | Robótica e Informática Industrial | es |
dc.subject.other | Finite impulse response filters | en |
dc.subject.other | Support vector machines | en |
dc.subject.other | Vehicles | en |
dc.subject.other | Databases | en |
dc.subject.other | Cameras | en |
dc.subject.other | Markov processes | en |
dc.subject.other | Histograms | en |
dc.title | Part based pedestrian detection based on logic inference | en |
dc.type | conference paper | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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