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A review of vision-based gait recognition methods for human identification

conference contribution
posted on 2010-01-01, 00:00 authored by Jin Wang, Fenghua SheFenghua She, Saeid Nahavandi, Abbas KouzaniAbbas Kouzani
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.

History

Event

Digital Image Computing : Techniques and Application Conference (2010 : Sydney, N.S.W.)

Pagination

320 - 327

Publisher

IEEE

Location

Sydney, N.S.W.

Place of publication

Piscataway, N.J.

Start date

2010-12-01

End date

2010-12-03

ISBN-13

9780769542713

ISBN-10

0769542719

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1 Full written paper - refereed

Copyright notice

2010, IEEE

Editor/Contributor(s)

J Zhang, C Shen, G Geers, Q Wu

Title of proceedings

DICTA 2010 : Proceedings of the Digital Image Computing : Techniques and Application

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