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Human recognition based on gait poses

dc.contributor.authorMartín Félez, Raúl
dc.contributor.authorMollineda, Ramón A.
dc.contributor.authorSánchez Garreta, Josep Salvador
dc.date.accessioned2012-06-20T21:47:51Z
dc.date.available2012-06-20T21:47:51Z
dc.date.issued2011
dc.identifier.citationLecture notes in computer science (2011), vol. 6669, 347-354
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10234/41925
dc.description.abstractThis paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for eachpose. Pose-based GEIs can better represent body parts and dynamics descriptors with respect to the usually blurred depiction provided by a general GEI. Gait classification is carried out by fusing separatedpose-based decisions. Experiments on human identification prove the benefits of this new approach when compared to the original GEI method.ca_CA
dc.description.sponsorShipPartially supported by projects CSD2007-00018 and CICYT TIN2009-14205-C04-04 from the Spanish Ministry of Innovation and Science, P1-1B2009-04 from Fundació Bancaixa and PREDOC/2008/04 grant from Universitat Jaume I. Portions of the research in this paper use the CASIA Gait Database collected by Institute of Automation, Chinese Academy of Sciencesca_CA
dc.format.extent8 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.languageengca_CA
dc.language.isocatca_CA
dc.publisherSpringerca_CA
dc.relation.isFormatOfThe original publication is available at http://www.springerlink.com/content/92164t71l4351236/ca_CA
dc.rights© Springer-Verlag Berlin Heidelberg 2011ca_CA
dc.rights.urihttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dc.subjectGait recognitionca_CA
dc.subjectGEIca_CA
dc.subjectPose estimationca_CA
dc.subjectDecision level fusionca_CA
dc.titleHuman recognition based on gait posesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-21257-4_43
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/submittedVersion


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