Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44070
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dc.contributor.authorDel Pozo-Baños, Marcosen_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorAlonso, Jesús B.en_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.date.accessioned2018-11-21T20:00:11Z-
dc.date.available2018-11-21T20:00:11Z-
dc.date.issued2009en_US
dc.identifier.isbn9781424441709en_US
dc.identifier.issn1071-6572en_US
dc.identifier.urihttp://hdl.handle.net/10553/44070-
dc.description.abstractFace recognition has been a main object of study, producing robust systems with high reliability. However, these systems face the inconvenience of long processing times which are, in many cases, unwanted. This paper presents a simple face recognition approach from TV video files based on the redundancy of information and a face recognition system used in regular face pictures. More precisely, the model relies on the wavelet transform for parameterize faces and support vector machines in order to classify them. After some experiments, the model has shown perfect accuracy in subject detection and recognition, with maximum delay of around 2 seconds.en_US
dc.languagespaen_US
dc.publisher1071-6572en_US
dc.relation.ispartofProceedings - International Carnahan Conference on Security Technologyen_US
dc.sourceProceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (5335553), p. 119-125en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherTV , Videos , Face recognition , Face detection , Robustness , Redundancy , Wavelet transforms , Support vector machines , Support vector machine classification , Delay , Biometric system , face identificatio , face detection , video processing , Support Vector Machines (SVMs) , pattern recognitionen_US
dc.titleFace identification based on TV videosen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference43rd Annual 2009 International Carnahan Conference on Security Technology, ICCST 2009
dc.identifier.doi10.1109/CCST.2009.5335553
dc.identifier.scopus72849109594-
dc.contributor.authorscopusid35241841700-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid55636321172-
dc.description.lastpage125-
dc.identifier.issue5335553-
dc.description.firstpage119-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateDiciembre 2009
dc.identifier.conferenceidevents121371
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.event.eventsstartdate05-10-2009-
crisitem.event.eventsenddate08-10-2009-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
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