Assessment of gait recognition based on the lower part of the human body

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dc.contributor.author Gabriel Sanz, Silvia
dc.contributor.author Vera-Rodríguez, Rubén
dc.contributor.author Tomé González, Pedro
dc.contributor.author Fiérrez, Julián
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2015-01-22T19:05:59Z
dc.date.available 2015-01-22T19:05:59Z
dc.date.issued 2013-08-15
dc.identifier.citation 2013 IEEE International Workshop on Biometrics and Forensics (IWBF). IEEE, 2013 en_US
dc.identifier.isbn 978-1-4673-4987-1
dc.identifier.uri http://hdl.handle.net/10486/663302
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. S. Gabriel-Sanz, R. Vera-Rodriguez, P. Tomé, J. Fiérrez, "Assessment of gait recognition based on the lower part of the human body" in International Workshop on Biometrics and Forensics (IWBF), Lisbon (Portugal), 2013, 1-4. en_US
dc.description.abstract This paper is focused on the assessment of gait recognition on a constrained scenario, where limited information can be extracted from the gait image sequences. In particular we are interested in assessing the performance of gait images when only the lower part of the body is acquired by the camera and just half of a gait cycle is available (SFootBD database). Thus, various state-of-the-art feature approaches have been followed and applied to the data. A comparison with a standard and ideal gait database (USF database) is also carried out using similar experimental protocols. Results show that good recognition performance can be achieved using such limited data information for gait biometric (around 85% of rank 5 identification rate and 8.6% of EER). The comparison with a standard database shows that different feature approaches perform differently for each database, achieving best individual results with MPCA and EGEI methods for the SFootBD and the USF database respectively. en_US
dc.description.sponsorship This work has been partially supported by a contract with Spanish Guardia Civil and projects Bio-Challenge (TEC2009-11186), Bio-Shield (TEC2012-34881), Contexts (S2009/TIC-1485), TeraSense (CSD2008-00068) and “Cátedra UAM-Telefónica”. en_US
dc.format.extent 5 pág. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher IEEE en_US
dc.relation.ispartof 2013 International Workshop on Biometrics and Forensics, (IWBF) 2013 - Proceedings. en_US
dc.rights © 2013 IEEE en_US
dc.subject.other Biometrics en_US
dc.subject.other Gait recognition en_US
dc.subject.other Surveillance en_US
dc.title Assessment of gait recognition based on the lower part of the human body en_US
dc.type conferenceObject en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/IWBF.2013.6547321
dc.identifier.doi 10.1109/IWBF.2013.6547321
dc.relation.eventdate April 4-5, 2013 en_US
dc.relation.eventplace Lisbon (Portugal) en_US
dc.relation.eventtitle International Workshop on Biometrics and Forensics (IWBF 2013) en_US
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS es_ES
dc.type.version info:eu-repo/semantics/acceptedVersion en
dc.contributor.group Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) es_ES
dc.rights.accessRights openAccess en
dc.authorUAM Fierrez Aguilar, Julián (261834)
dc.authorUAM Tome González, Pedro (263802)


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