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Characterisation of the spatial sensitivity of classifiers in pedestrian detection

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorQuinteros, Daniel
dc.contributor.authorVelastin Carroza, Sergio Alejandro
dc.contributor.authorAcuña Leiva, Gonzalo
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderMinisterio de Educación, Cultura y Deporte (España)es
dc.date.accessioned2019-10-02T08:54:25Z
dc.date.available2019-10-02T08:54:25Z
dc.date.issued2015-09
dc.descriptionThis paper has been presented at : 6th LatinAmerican Conference on Networked Electronic Media (LACNEM-2015)en
dc.description.abstractIn this paper, a study of the spatial sensitivity in the pedestrian detection context is carried out by a comparison of two descriptor-classifier combinations, using the well-known sliding window approach and looking for a well-tuned response of the detector. By well-tuned, we mean that multiple detections are minimised so as to facilitate the usual non-maximal suppression stage. So, to guide the evaluation we introduce the concept of spatial sensitivity so that a pedestrian detection algorithm with good spatial sensitivity can reduce the number of classifications in the pedestrian neighbourhood, ideally to one. To characterise spacial sensitivity we propose and use a new metric to measure it. Finally we carry out a statistical analysis (ANOVA) to validate the results obtained from the metric usage.en
dc.description.sponsorshipThe work described here was carried out as part of the OB-SERVE project funded by the Fondecyt Regular programme of Conicyt (Chilean Research Council for Science and Technology) under grant no. 1140209. Sergio A Velastin has re-ceived funding from the Universidad Carlos III de Madrid, the European Unions Seventh Framework Programme for research, technological development and demonstration under grant agreement no 600371, el Ministerio de Economa y Competitividad (COFUND2013-51509) el Ministerio de Educacin, cultura y Deporte (CEI-15-17) and Banco Santander.en
dc.format.extent4
dc.identifier.bibliographicCitationQuinteros, D., Velastin, S.A. y Acuña, G. (2015). Characterisation of the spatial sensitivity of classifiers in pedestrian detection. 6th LatinAmerican Conference on Networked Electronic Media (LACNEM-2015).en
dc.identifier.doihttps://doi.org/10.1049/ic.2015.0313
dc.identifier.isbn978-1-78561-280-0
dc.identifier.publicationtitle6th LatinAmerican Conference on Networked Electronic Mediaen
dc.identifier.urihttps://hdl.handle.net/10016/28947
dc.identifier.uxxiCC/0000027415
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate23-25 Sept. 2015en
dc.relation.eventplaceMedellín, Colombiaen
dc.relation.eventtitle6th LatinAmerican Conference on Networked Electronic Media (LACNEM-2015)en
dc.relation.projectIDGobierno de España. COFUND2013-51509es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/PCOFUND-GA-2012-600371en
dc.relation.projectIDGobierno de España. CEI-15-17es
dc.rights© 2015 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otherPedestrian detectionen
dc.subject.otherSpatial sensitivityen
dc.subject.otherNMSen
dc.subject.otherHOGen
dc.subject.otherClassifieren
dc.titleCharacterisation of the spatial sensitivity of classifiers in pedestrian detectionen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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