Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (1): 99-104.doi: 10.3969/j.issn.1000-565X.2015.01.016

• Computer Science & Technology • Previous Articles     Next Articles

A Novel Front-view Gait Recognition Approach in Real Surveillance Environments

Jiang Ying-jun Wang Jian-xin Guo Ke-hua   

  1.  School of Information Science and Engineering ， Central South University ， Changsha 410083 ， Hunan ， China 
  • Received:2014-05-19 Revised:2014-08-03 Online:2015-01-25 Published:2014-12-01
  • Contact: 姜颖军（1972-），男，博士，高级工程师，主要从事机器学习研究 . E-mail:124601037@csu.edu.cn
  • About author:姜颖军（1972-），男，博士，高级工程师，主要从事机器学习研究 .
  • Supported by:
    Supported by the National Natural Science Foundation for Young Scholars of China （ 61202341/F020508 ） and the State Key Program of National Natural Science Foundation of China （ 61232001/F02 ）

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Abstract: In real monitoring circumstances ， pedestrians ’ front-view gaits are more common than lateral-view ones. As the existing gait recognition methods are mainly focused on lateral-view gaits instead of front-view gaits ，a new front-view gait recognition method on the basis of automatic perspective conversion is proposed according
to the statistics of pedestrians ’ gait features. Through calculating pedestrians ’ gait energy images ， walking
trajectories and gait view angles ， this method extracts and recognizes gait features under the same view angle
after the transformation of view angles. Experimental results show that the proposed method works well under
real monitoring circumstances when the parameters of monocular camera are unknown ， and that it achieves a
recognition rate for front-view gait of 81% and an identified frame number of 21 per second.

Key words: gait recognition, biological recognition, gait energy image, view invariant, feature extraction