Lamar León, JavierGarcía Reyes, EdelGonzález Díaz, Rocío2015-11-182015-11-182012http://hdl.handle.net/11441/30814This 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.application/pdfengAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Pattern RecognitionImage Processing and Computer VisionArtificial Intelligence (incl. Robotics)BiometricsAlgorithm Analysis and Problem ComplexityInformation Systems Applications (incl. Internet)info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1007/978-3-642-33275-3_30