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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Human Gait Identification Using Persistent Homology
verfasst von : Javier Lamar-León, Edel B. García-Reyes, Rocío Gonzalez-Diaz
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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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.