1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: joace@ejournal.net.
2.Can I submit an abstract?
The journal publishes full research papers. So only full paper submission...[Read More]

Human Gait Recognition: A Silhouette Based Approach

Negin K. Hosseini 1 and Md Jan Nordin 2
1. Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia
2.Center for Artificial Intelligence Technology, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia
Abstract—Human gait has become an important biometric in recent years. A silhouette based method is suggested in this paper, to recognize human in video by their gait. We used averaged silhouette to represent the gait cycle. Principal Component Analysis has been used to reduce the dimensionality of the features. We applied Euclidean distance to measure the similarity of the averaged silhouettes. We implemented the algorithm on the TUM-IITKGP Gait Database which has been introduced recently. Although this method is sensitive to the appearance of the subject, it has low computational cost and it is simple. We implemented two experiments on the achieved averaged silhouettes. Our results illustrated that feature extracted from the averaged silhouettes which in them, the lower part of the body is eliminated are more suitable rather than those extracted from the complete averaged silhouettes.

Index Terms—gait recognition, averaged silhouette, principal component analysis, euclidean distance

Cite: Negin K. Hosseini and Md Jan Nordin , "Human Gait Recognition: A Silhouette Based Approach ," Journal of Automation and Control Engineering, Vol.1, No.2, pp. 103-105, June 2013. doi: 10.12720/joace.1.2.103-105

 
Copyright © 2018-2022 Journal of Automation and Control Engineering, All Rights Reserved
E-mail: joace@ejournal.net