Discrete features for rapid pedestrian detection in infrared images

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dc.contributor.author Olmeda Reino, Daniel
dc.contributor.author Armingol Moreno, José María
dc.contributor.author Escalera Hueso, Arturo de la
dc.date.accessioned 2013-09-13T14:31:56Z
dc.date.available 2013-09-13T14:31:56Z
dc.date.issued 2012-10
dc.identifier.bibliographicCitation 2012 IEEE/RSI International Conference on Intelligent Robots and System (IROS). Estados Unidos de America: IEEE - The Institute of Electrical and Electronics Engineers, pp. 3067-3072
dc.identifier.isbn 978-1-4673-1737-5
dc.identifier.issn 2153-0858
dc.identifier.uri http://hdl.handle.net/10016/17549
dc.description Proceeding of: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems October 7-12, 2012. Vilamoura, Algarve, Portugal.
dc.description.abstract In this paper the authors propose a pedestrian detection system based on discrete features in infrared images. Unique keypoints are searched for in the images around which a descriptor, based on the histogram of the phase congruency orientation, is extracted. These descriptors are matched with defined regions of the body of a pedestrian. In case of a match, it creates a region of interest in the image, which is classified as a pedestrian / non-pedestrian by an SVM classifier. The pedestrian detection system has been tested in an advanced driver assistance system for urban driving.
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).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2012 IEEE
dc.subject.other Pedestrian detection
dc.subject.other Infrared images
dc.title Discrete features for rapid pedestrian detection in infrared images
dc.type conferenceObject
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/IROS.2012.6385928
dc.identifier.doi 10.1109/IROS.2012.6385928
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/DPI-1509/SEGVAUTO
dc.relation.projectID Gobierno de España. TRA2013-48314-C3-1-R
dc.type.version acceptedVersion
dc.relation.eventdate 2012-10-07
dc.relation.eventplace Vila Moura, Algarve, Portugal
dc.relation.eventtitle IEEE/RSI International Conference on Intelligent Robots and System (IROS)
dc.identifier.publicationfirstpage 3067
dc.identifier.publicationlastpage 3072
dc.identifier.uxxi CC/0000014608
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