People detection based on appearance and motion models

García-Martín, Álvaro; Hauptmann, Alex; Martínez Sánchez, José María

UAM_Biblioteca

Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.

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dc.contributor.author	García-Martín, Álvaro
dc.contributor.author	Hauptmann, Alex
dc.contributor.author	Martínez Sánchez, José María
dc.contributor.other	UAM. Departamento de Tecnología Electrónica y de las Comunicaciones	es_ES
dc.date.accessioned	2015-06-30T14:10:50Z
dc.date.available	2015-06-30T14:10:50Z
dc.date.issued	2011
dc.identifier.citation	8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2011, IEEE, 2011. 256-260	en_US
dc.identifier.isbn	978-1-4577-0843-5 (online)	en_US
dc.identifier.isbn	978-1-4577-0844-2 (print)	en_US
dc.identifier.uri	http://hdl.handle.net/10486/667128
dc.description	Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A. Garcia-Martin, A. Hauptmann, and J. M. Martínez "People detection based on appearance and motion models", in 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2011, p. 256-260	en_US
dc.description.abstract	The main contribution of this paper is a new people detection algorithm based on motion information. The algorithm builds a people motion model based on the Implicit Shape Model (ISM) Framework and the MoSIFT descriptor. We also propose a detection system that integrates appearance, motion and tracking information. Experimental results over sequences extracted from the TRECVID dataset show that our new people motion detector produces results comparable to the state of the art and that the proposed multimodal fusion system improves the obtained results combining the three information sources.	en_US
dc.description.sponsorship	This work has been partially supported by the Cátedra UAM-Infoglobal ("Nuevas tecnologías de vídeo aplicadas a sistemas de video-seguridad") and by the Universidad Autónoma de Madrid (“FPI-UAM: Programa propio de ayudas para la Formación de Personal Investigador”)	en_US
dc.format.extent	6 pág.	es_ES
dc.format.mimetype	application/pdf	en
dc.language.iso	eng	en
dc.publisher	Institute of Electrical and Electronics Engineers	en_US
dc.rights	© 2011 IEEE	en_US
dc.subject.other	Implicit motion model	en_US
dc.subject.other	Implicit shape model	en_US
dc.subject.other	MoSIFT	en_US
dc.subject.other	People detection	en_US
dc.title	People detection based on appearance and motion models	en_US
dc.type	conferenceObject	en
dc.type	bookPart	en
dc.subject.eciencia	Telecomunicaciones	es_ES
dc.relation.publisherversion	http://dx.doi.org/10.1109/AVSS.2011.6027333
dc.identifier.doi	10.1109/AVSS.2011.6027333
dc.identifier.publicationfirstpage	256
dc.identifier.publicationlastpage	260
dc.relation.eventdate	August 30-September 2, 2011	en_US
dc.relation.eventnumber	8
dc.relation.eventplace	Klagenfurt (Germany)	en_US
dc.relation.eventtitle	8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2011	en_US
dc.type.version	info:eu-repo/semantics/acceptedVersion	en
dc.contributor.group	Tratamiento e Interpretación de Vídeo (ING EPS-006)	es_ES
dc.rights.accessRights	openAccess	en
dc.facultadUAM	Escuela Politécnica Superior