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Capítulo de Libro
Human gait identification using persistent homology
dc.creator | Lamar León, Javier | |
dc.creator | García Reyes, Edel | |
dc.creator | González Díaz, Rocío | |
dc.date.accessioned | 2015-11-18T11:24:55Z | |
dc.date.available | 2015-11-18T11:24:55Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | http://hdl.handle.net/11441/30814 | |
dc.description.abstract | This 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.format | application/pdf | es |
dc.language.iso | eng | es |
dc.relation.ispartof | Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, Vol. 7441 p. 244-251 | es |
dc.rights | Atribución-NoComercial-CompartirIgual 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.subject | Pattern Recognition | es |
dc.subject | Image Processing and Computer Vision | es |
dc.subject | Artificial Intelligence (incl. Robotics) | es |
dc.subject | Biometrics | es |
dc.subject | Algorithm Analysis and Problem Complexity | es |
dc.subject | Information Systems Applications (incl. Internet) | es |
dc.title | Human gait identification using persistent homology | es |
dc.type | info:eu-repo/semantics/bookPart | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I | es |
dc.identifier.doi | http://dx.doi.org/10.1007/978-3-642-33275-3_30 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/30814 |
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Human gait identification.pdf | 877.2Kb | [PDF] | Ver/ | |