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A Hybrid Real-Time Vision-Based Person Detection Method

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A Hybrid Real-Time Vision-Based Person Detection Method

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dc.contributor.author Oliver Moll, Javier es_ES
dc.contributor.author Albiol Colomer, Alberto es_ES
dc.contributor.author Morillas, Samuel es_ES
dc.contributor.author Peris Fajarnes, Guillermo es_ES
dc.date.accessioned 2015-11-18T10:47:39Z
dc.date.available 2015-11-18T10:47:39Z
dc.date.issued 2011
dc.identifier.issn 1889-8297
dc.identifier.uri http://hdl.handle.net/10251/57676
dc.description.abstract [EN] In this paper, we introduce a hybrid real-time method for vision-based pedestrian detection made up by the sequential combination of two basic methods applied in a coarse to fine fashion. The proposed method aims to achieve an improved balance between detection accuracy and computational load by taking advantage of the strengths of these basic techniques. Haar-like features combined with Boosting techniques, which have been demonstrated to provide rapid but not accurate enough results in human detection, are used in the first stage to provide a preliminary candidate selection in the scene. Then, feature extraction and classification methods, which present high accuracy rates at expenses of a higher computational cost, are applied over boosting candidates providing the final prediction. Experimental results show that the proposed method performs effectively and efficiently, which supports its suitability for real applications. es_ES
dc.description.sponsorship This work is supported by CASBLIP project 6-th FP\cite{RefCASBLIP}. The authors acknowledge the support of the Technological Institute of Optics, Colour and Imaging of Valencia - AIDO. Dr. Samuel Morillas acknowledges the support of Generalitat Valenciana under grant GVPRE/2008/257 and Universitat Politècnica de València under grant Primeros Proyetos de Investigación 13202. }
dc.language Inglés es_ES
dc.publisher Instituto de Telecomunicaciones y Aplicaciones Multimedia (ITEAM)" es_ES
dc.relation EU/CASBLIP project 6-th FP \cite{RefCASBLIP} es_ES
dc.relation GV/GVPRE/2008/257 es_ES
dc.relation.ispartof Waves es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Boosting es_ES
dc.subject Histograms of Oriented Gradients es_ES
dc.subject Support Vector Machine es_ES
dc.subject Feature Descriptor vector es_ES
dc.subject Real-Time Imaging es_ES
dc.subject Person Detection es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title A Hybrid Real-Time Vision-Based Person Detection Method es_ES
dc.type Artículo es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Oliver Moll, J.; Albiol Colomer, A.; Morillas, S.; Peris Fajarnes, G. (2011). A Hybrid Real-Time Vision-Based Person Detection Method. Waves. 86-95. http://hdl.handle.net/10251/57676 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.iteam.upv.es/waves.php es_ES
dc.description.upvformatpinicio 86 es_ES
dc.description.upvformatpfin 95 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 220013 es_ES
dc.contributor.funder European Commission
dc.contributor.funder Generalitat Valenciana


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