Show simple item record

dc.contributor.authorLópez-López, Eric
dc.contributor.authorRegueiro, Carlos V.
dc.contributor.authorPardo, Xosé Manuel
dc.contributor.authorFranco, Annalisa
dc.contributor.authorLumini, Alessandra
dc.date.accessioned2022-03-21T18:46:41Z
dc.date.available2022-03-21T18:46:41Z
dc.date.issued2021
dc.identifier.citationLOPEZ-LOPEZ, Eric, REGUEIRO, Carlos V., PARDO, Xosé M., FRANCO, Annalisa and LUMINI, Alessandra, 2021. Towards a self-sufficient face verification system. Expert Systems with Applications. 15 July 2021. Vol. 174, p. 114734. DOI 10.1016/j.eswa.2021.114734es_ES
dc.identifier.urihttp://hdl.handle.net/2183/30090
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.description.abstract[Abstract] The absence of a previous collaborative manual enrolment represents a significant handicap towards designing a face verification system for face re-identification purposes. In this scenario, the system must learn the target identity incrementally, using data from the video stream during the operational authentication phase. So, manual labelling cannot be assumed apart from the first few frames. On the other hand, even the most advanced methods trained on large-scale and unconstrained datasets suffer performance degradation when no adaptation to specific contexts is performed. This work proposes an adaptive face verification system, for the continuous re-identification of target identity, within the framework of incremental unsupervised learning. Our Dynamic Ensemble of SVM is capable of incorporating non-labelled information to improve the performance of any model, even when its initial performance is modest. The proposal uses the self-training approach and is compared against other classification techniques within this same approach. Results show promising behaviour in terms of both knowledge acquisition and impostor robustness.es_ES
dc.description.sponsorshipThis work has received financial support from the Spanish government (project TIN2017-90135-R MINECO (FEDER)), from The Consellaría de Cultura, Educación e Ordenación Universitaria (accreditations 2016–2019, EDG431G/01 and ED431G/08), and reference competitive groups (2017–2020, and ED431C 2017/04), and from the European Regional Development Fund (ERDF). Eric López-López has received financial support from the Xunta de Galicia and the European Union (European Social Fund – ESF)es_ES
dc.description.sponsorshipXunta de Galicia; EDG431G/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/08es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2017/04es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TIN2017-90135-R/ES/APRENDIZAJE MAQUINA "GLOCAL" Y CONTINUO PARA UNA SOCIEDAD DE DISPOSITIVOS INTELIGENTES/
dc.relation.urihttps://doi.org/10.1016/j.eswa.2021.114734es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAdaptive biometricses_ES
dc.subjectVideo surveillancees_ES
dc.subjectVideo-to-video face verificationes_ES
dc.subjectUnsupervised learninges_ES
dc.subjectIncremental learninges_ES
dc.titleTowards a Self-Sufficient Face Verification Systemes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleExpert Systems with Applicationses_ES
UDC.volume174es_ES
UDC.startPage114734es_ES
dc.identifier.doi10.1016/j.eswa.2021.114734


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record