Context Aided Multilevel Pedestrian Detection

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dc.contributor.author García, Fernando
dc.contributor.author Escalera Hueso, Arturo de la
dc.contributor.author Armingol Moreno, José María
dc.date.accessioned 2016-09-23T10:09:33Z
dc.date.available 2016-09-23T10:09:33Z
dc.date.issued 2013
dc.identifier.bibliographicCitation 2013 16th International Conference on Information Fusion (FUSION). : IEEE - The Institute Of Electrical And Electronics Engineers, Inc. Pp. 2019-2024
dc.identifier.isbn 978-605-86311-1-3
dc.identifier.uri http://hdl.handle.net/10016/23627
dc.description.abstract Abstract: The proposed work, depicts a novel algorithm able to provide multiple pedestrian detection, based on the use of classical sensors in modern automotive application and context information. The work takes advantage of the use of Joint Probabilities Data Association (JPDA) and context information to enhance the classic performance of the pedestrian detection algorithms. The combination of the different information sources with powerful tracking algorithms helps to overcome the difficulties of this processes, providing a trustable tool that improves performance of the single sensor detection algorithms. Context in a rich information source, able to improve the fusion process in all levels by the use of a priori knowledge of the application. In the present work multilevel fusion solution is provided for road safety application. Context is used in all the fusion levels, helping to improve the perception of the road environment and the relations among detections. By the fusion of all information sources, accurate and trustable detection is provided and complete situation assessment obtained, with estimation of the danger that involves any detection.
dc.description.sponsorship This work was supported by the Spanish Government through the Cicyt projects (GRANT TRA2010-20225-C03-01) and (GRANT TRA 2011-29454-C03-02). CAM through SEGVAUTO-II ( S2009/DPI-1509).
dc.format.extent 7
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2013 IEEE
dc.subject.other Context
dc.subject.other ADAS
dc.subject.other Multilevel Application
dc.subject.other Advanced Driver Assistance Systems
dc.title Context Aided Multilevel Pedestrian Detection
dc.type conferenceObject
dc.type bookPart
dc.relation.publisherversion http://ieeexplore.ieee.org/document/6641253/
dc.subject.eciencia Robótica e Informática Industrial
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TRA2010-20225-C03-01
dc.relation.projectID Gobierno de España. TRA2011-29454-C03-02
dc.relation.projectID Comunidad de Madrid. S2009/ESP-1691/MODELICO
dc.type.version publishedVersion
dc.relation.eventdate 9-12 July 2013
dc.relation.eventplace Turquía
dc.relation.eventtitle 16th International Conference on Information Fusion (FUSION 2013)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 2019
dc.identifier.publicationlastpage 2024
dc.identifier.publicationtitle 2013 16th International Conference on Information Fusion (FUSION)
dc.identifier.uxxi CC/0000021788
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