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ICPR
2010
IEEE

Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition

13 years 6 months ago
Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition
A realistic appearance-based representation of sideview gait sequences is here introduced. It is based on a prior method where a set of appearance-based features of a gait sample is used for gender recognition. These features are computed from parameter values of ellipses that fit body parts enclosed by regions previously defined while ignoring well-known facts of the human body structure. This work presents an improved regionalization method supported by some adaptive heuristic rules to better adjust regions to body parts. As a result, more realistic ellipses and a more meaningful feature space are obtained. Gender recognition experiments conducted on the CASIA Gait Database show better classification results when using the new features.
Raúl Martín-Félez, Ramón A. Mollineda, J. Salv
Added 30 Sep 2010
Updated 30 Sep 2010
Type Conference
Year 2010
Where ICPR
Authors Raúl Martín-Félez, Ramón A. Mollineda, J. Salvador Sanchez
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