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Determinants in Human Gait Recognition
Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
- 1 Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
- 2 Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
Journal of Information Security·Volume 03 (2012)·Pages 77–85·Published 26 April 2012·DOI10.4236/jis.2012.32009
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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.
KeywordsBiometricsFeature ComparisonFeature ExtractionGait Recognition
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