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dc.creatorLamar León, Javier
dc.creatorGarcía Reyes, Edel
dc.creatorGonzález Díaz, Rocío
dc.date.accessioned2015-11-18T11:24:55Z
dc.date.available2015-11-18T11:24:55Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/11441/30814
dc.description.abstractThis paper shows an image/video application using topological invariants for human gait recognition. Using a background subtraction approach, a stack of silhouettes is extracted from a subsequence and glued through their gravity centers, forming a 3D digital image I. From this 3D representation, the border simplicial complex ∂ K(I) is obtained. We order the triangles of ∂ K(I) obtaining a sequence of subcomplexes of ∂ K(I). The corresponding filtration F captures relations among the parts of the human body when walking. Finally, a topological gait signature is extracted from the persistence barcode according to F. In this work we obtain 98.5% correct classification rates on CASIA-B database.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.relation.ispartofProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, Vol. 7441 p. 244-251es
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectPattern Recognitiones
dc.subjectImage Processing and Computer Visiones
dc.subjectArtificial Intelligence (incl. Robotics)es
dc.subjectBiometricses
dc.subjectAlgorithm Analysis and Problem Complexityes
dc.subjectInformation Systems Applications (incl. Internet)es
dc.titleHuman gait identification using persistent homologyes
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada Ies
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-33275-3_30es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/30814

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