Capítulo de Libro
Human gait identification using persistent homology
Autor/es | Lamar León, Javier
García Reyes, Edel González Díaz, Rocío |
Departamento | Universidad de Sevilla. Departamento de Matemática Aplicada I |
Fecha de publicación | 2012 |
Fecha de depósito | 2015-11-18 |
Publicado en |
|
Resumen | 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 ... 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Human gait identification.pdf | 877.2Kb | [PDF] | Ver/ | |