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Detection of People Boarding/Alighting a Metropolitan Train using Computer Vision

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorBelloc, M.
dc.contributor.authorVelastin Carroza, Sergio Alejandro
dc.contributor.authorFernández, R.
dc.contributor.authorJara, M.
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2019-10-04T08:05:37Z
dc.date.available2019-10-04T08:05:37Z
dc.date.issued2018-05
dc.descriptionThis paper has been presented at : 9th International Conference on Pattern Recognition Systems (ICPRS 2018)en
dc.description.abstractPedestrian detection and tracking have seen a major progress in the last two decades. Nevertheless there are always appli-cation areas which either require further improvement or that have not been sufficiently explored or where production level performance (accuracy and computing efficiency) has not been demonstrated. One such area is that of pedestrian monitoring and counting in metropolitan railways platforms. In this paper we first present a new partly annotated dataset of a full-size laboratory observation of people boarding and alighting from a public transport vehicle. We then present baseline results for automatic detection of such passengers, based on computer vi-sion, that could open the way to compute variables of interest to traffic engineers and vehicle designers such as counts and flows and how they are related to vehicle and platform layout.en
dc.description.sponsorshipThe authors gratefully acknowledge the Chilean National Science and Technology Council (Conicyt) for its funding under grants CONICYT-Fondecyt Regular nos. 1140209 (“OBSERVE”) , 1120219, and 1080381 . S.A. Velastin is grateful to funding received from the Universidad Carlos III de Madrid, the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 600371, el Ministerio de Economía y Competitividad (COFUND2013-51509) and Banco Santander. Finally, we are grateful to NVIDIA for its donation as part of its academic GPU Grant Program.en
dc.format.extent6
dc.identifier.bibliographicCitationBelloc, M., Velastin, S.A., Fernández, R. y Jara, M. (2018). Detection of People Boarding/Alighting a Metropolitan Train using Computer Vision. In 9th International Conference on Pattern Recognition Systems (ICPRS 2018).en
dc.identifier.doihttps://doi.org/10.1049/cp.2018.1281
dc.identifier.isbn978-1-78561-887-1
dc.identifier.publicationtitle9th International Conference on Pattern Recognition Systems (ICPRS 2018)en
dc.identifier.urihttps://hdl.handle.net/10016/28969
dc.identifier.uxxiCC/0000030001
dc.language.isoengen
dc.publisherInstitution Of Engineering And Technology (IET)en
dc.relation.eventdate22-24 May 2018en
dc.relation.eventplaceValparaíso, Chilees
dc.relation.eventtitle9th International Conference on Pattern Recognition Systems (ICPRS 2018)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/PCOFUND-GA-2012-600371en
dc.relation.projectIDGobierno de España. COFUND2013-51509es
dc.rights© 2018 The Institution of Engineering and Technology.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otherPedestrian detectionen
dc.subject.otherHOGen
dc.subject.otherSupport vector machineen
dc.subject.otherDeep learningen
dc.titleDetection of People Boarding/Alighting a Metropolitan Train using Computer Visionen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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