Determinants in Human Gait Recognition

Tahir Amin, Dimitrios Hatzinakos

Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.

DOI: 10.4236/jis.2012.32009                

Abstract

Human gait is a complex phenomenon involving the motion of various parts of the body simultaneously in a 3 dimensional space. Dynamics of different parts of the body translate its center of gravity from one point to another in the most efficient way. Body dynamics as well as static parameters of different body parts contribute to gait recognition. Studies have been performed to assess the discriminatory power of static and dynamic features. The current research literature, however, lacks the work on the comparative significance of dynamic features from different parts of the body. This paper sheds some light on the recognition performance of dynamic features extracted from different parts of human body in an appearance based set up.

Keywords

Biometrics; Feature Comparison; Feature Extraction; Gait Recognition

Conflicts of Interest

The authors declare no conflicts of interest.

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