A review of vision-based gait recognition methods for human identification
Wang, Jin, She, Mary, Nahavandi, Saeid and Kouzani, Abbas 2010, A review of vision-based gait recognition methods for human identification, in DICTA 2010 : Proceedings of the Digital Image Computing : Techniques and Application, IEEE, Piscataway, N.J., pp. 320-327.
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.
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