Boosting histograms of oriented gradients for human detection

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/2745

dc.contributor	Institut de Robòtica i Informàtica Industrial
dc.contributor.author	Perdersoli, Marco
dc.contributor.author	Gonzàlez, Jordi
dc.contributor.author	Chakraborty, Bhaskar
dc.contributor.author	Villanueva, Juan J.
dc.date	2007
dc.identifier.citation	Perdersoli, Marco; Gonzàlez, Jordi; Chakraborty, Bhaskar; Villanueva, Juan J.. "Boosting histograms of oriented gradients for human detection". A: 2nd Computer Vision: Advances in Research & Development (CVCRD), Bellaterra, Espanya, 2007. s. n., 2007, p. 1-6.
dc.identifier.uri	http://hdl.handle.net/2117/2745
dc.language.iso	eng
dc.publisher	s. n.
dc.relation	Computer Vision: Advances in Research & Development (CVCRD)
dc.relation	J-0929
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject	Computer vision
dc.subject	object recognition
dc.subject	machine vision
dc.subject	pattern recognition
dc.subject	Visió per ordinador
dc.subject	Classificació INSPEC::Pattern recognition::Computer vision
dc.title	Boosting histograms of oriented gradients for human detection
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of square blocks. This novel method outperforms the integral of oriented histograms allowing the calculation of a single feature four times faster. Using Adaboost for HOG feature selection and Support Vector Machine as weak classifier, we build up a fast human classifier with an excellent detection rate.
dc.description.abstract	Peer Reviewed

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