Volume 2 Number 6 (Dec. 2010)
Home > Archive > 2010 > Volume 2 Number 6 (Dec. 2010) >
IJCEE 2010 Vol.2 (6): 1043-1047 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2010.V2.273

A Novel Human Gait Recognition System

Seyyed Meysam Hosseini, Abbas Nasrabadi, Peyman Nouri, and Hasan Farsi

Abstract—In this paper considering a new human gait recognition system based on Radon transform which gives a high precision recognition rate. Innovation of this paper allocate to feature extraction and usage of them during process by combined neural networks . feature extraction is based on the Radon transform of binary silhouettes .in this paper For each gait sequence, the transformed silhouettes are used after background estimation and human detection in the scene to make each related template’s. then set of all templates is used to subspace projection by following PCA method and earning final decimated feature vector for each persons in database. consequently earned feature vector for each person's is applied to multilayer perceptron neural network and set of all neural networks feed to final neural network for final decision . Experimental results is performed over a suitable data base include 10 samples for ten person which each sample have 130 frames approximately. 97% recognition rate of the proposed system is obtained over 10 samples test patterns.

Index Terms—Human Gait recognition,Background estimation, Radon Transform,Y-T plan,X-T plan , Feature extraction,PCA, Neural network classifier.

Manuscript received June, 2010. S.M.Hosseini is with the Islamic Azad University Of Firoozkooh , electrical engineering group , iran. Phone: +989127756374: m.hosseini@Birjand.ac.ir .hasan farsi is with university of birjand,iran,hfarsi@birjand.ac.ir. Peyman nouri is with Islamic azad university of Tabriz, payman_nouri@ya and Abbas Narsabadi is with the tarbiaat moaalem University of sabzevar,iran. He is now with the Department of Mechatronics engineering, abbas.nasrabadi@gmail.com.

Cite: Seyyed Meysam Hosseini, Abbas Nasrabadi, Peyman Nouri and Hasan Farsi, "A Novel Human Gait Recognition System," International Journal of Computer and Electrical Engineering vol. 2, no. 6, pp. 1043-1047, 2010.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

What's New

  • Jun 03, 2019 News!

    IJCEE Vol. 9, No. 2 - Vol. 10, No. 2 have been indexed by EI (Inspec) Inspec, created by the Institution of Engineering and Tech.!   [Click]

  • Oct 11, 2019 News!

    IJCEE Vol 11, No 4 is available online now   [Click]

  • Oct 11, 2019 News!

    The dois of published papers in Vol 11, No 1- Vol 11, No 3 have been validated by Crossref

  • Aug 20, 2019 News!

    IJCEE Vol 11, No 3 is available online now   [Click]

  • Jun 03, 2019 News!

    IJCEE Vol. 11, No. 2 is available online now.   [Click]

  • Read more>>