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IWBRS
2005
Springer

Combining Wavelet Velocity Moments and Reflective Symmetry for Gait Recognition

9 years 5 months ago
Combining Wavelet Velocity Moments and Reflective Symmetry for Gait Recognition
Abstract. Gait is a biometric feature and gait recognition has become a challenging problem in computer vision. New wavelet velocity moments have been developed to describe and recognize gait. Wavelet moments are translation, scale and rotation invariant. Wavelet analysis has the trait of multi-resolution analysis, which strengthens the analysis ability to image subtle feature. According with the psychological studies, reflective symmetry features are introduced to help recognition. Combination of wavelet velocity moments and reflective symmetry not only has the characteristic of wavelet moments, but also reflects the person’s walking habit of symmetry. Experiments on two databases show the proposed combined features of wavelet velocity moments and reflective symmetry are efficient to describe gait.
Guoying Zhao, Li Cui, Hua Li
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where IWBRS
Authors Guoying Zhao, Li Cui, Hua Li
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