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2010 International Conference on Digital Image Computing: Techniques and Applications
A Review of Vision-Based Gait Recognition Methods for Human Identification
Sydney, New South Wales Australia
December 01-December 03
ISBN: 978-0-7695-4271-3
Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance. This paper provides a comprehensive survey of recent developments on gait recognition approaches. The survey emphasizes on three major issues involved in a general gait recognition system, namely gait image representation, feature dimensionality reduction and gait classification. Also, a review of the available public gait datasets is presented. The concluding discussions outline a number of research challenges and provide promising future directions for the field.
Citation:
Jin Wang, Mary She, Saeid Nahavandi, Abbas Kouzani, "A Review of Vision-Based Gait Recognition Methods for Human Identification," dicta, pp.320-327, 2010 International Conference on Digital Image Computing: Techniques and Applications, 2010
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