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dc.contributor.authorScandaliaris, Jorge-
dc.contributor.authorVillamizar, Michael-
dc.contributor.authorSanfeliu, Alberto-
dc.identifier.citationInternational Conference on Pattern Recognition: 4577-4580 (2010)es_ES
dc.descriptionTrabajo presentado a la ICPR 2010 celebrada en Estambul del 23 al 26 de agosto.es_ES
dc.description.abstractCast shadows add additional difficulties on detecting objects because they locally modify image intensity and color. Shadows may appear or disappear in an image when the object, the camera, or both are free to move through a scene. This work evaluates the performance of an object detection method based on boosted HOG paired with three different image representations in outdoor video sequences. We follow and extend on the taxonomy from van de Sande with considerations on the constraints assumed by each descriptor on the spatial variation of the illumination. We show that the intrinsic image representation consistently gives the best results. This proves the usefulness of this representation for object detection in varying illumination conditions, and supports the idea that in practice local assumptions in the descriptors can be violated.es_ES
dc.description.sponsorshipThis work has been partially funded by the Spanish Ministry of Science and Innovation under projects UbROB DPI2007-61452, and MIPRCV Consolider Ingenio 2010 CSD2007-00018. The first author is funded by the Technical University of Catalonia (UPC).es_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.titleComparative Analysis for Detecting Objects Under Cast Shadows in Video Imageses_ES
dc.typecomunicación de congresoes_ES
dc.description.peerreviewedPeer reviewedes_ES
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