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.

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: Raúl Martín-Félez, Ramón A. Mollineda, J. Salvador Sanchez
• Keywords: Computer Vision, Gait, Gender Recognition, ICPR 2010, Sideview Gait Sequences