Gait Recognition by Dynamic Cues

Bouchrika, Imed and Nixon, Mark (2008) Gait Recognition by Dynamic Cues. In, 19th IEEE International Conference on Pattern Recognition, Tampa, FLorida, USA,


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Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-related gait features. We present a new method for gait recognition using dynamic features including the angular measurements of the lower limbs as well as the spatial displacement of the trunk. Gait signatures are derived using Feature selection algorithm which is based on a validation-criterion. We show that gait angular measurements derived from the joint motions mainly the ankle, knee and hip angles, possess most of the discriminatory potency for gait recognition with an achieved correct classification rate of 95.7%

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 2008
Keywords: gait recognition, computer vision, image processing, biometrics, gait
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 266141
Accepted Date and Publication Date:
December 2008Published
Date Deposited: 16 Jul 2008 14:10
Last Modified: 31 Mar 2016 14:12
Further Information:Google Scholar

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