Cart (Loading....) | Create Account
Close category search window
 

A gait recognition method based on positioning human body joints

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ai-Hua Wang ; Univ. of Sci. & Technol. Beijing, Beijing ; Ji-Wei Liu

Gait recognition is to identify individuals by analysis of gait pattern. Here a simple and efficient gait recognition method based on positioning body joints is presented. At first key frame is extracted based on cyclic gait analysis. For each key frame image, background subtraction is performed to extract moving body silhouettes from the background. Then the coordinates of joints are computed according to the geometrical characteristics shown while walking. The limbs angles are computed based on the coordinates of joints and then made discrete Fourier transform. The amplitude-frequency and phase-frequency of angles are chosen as gait feature. At last the nearest neighbor classifier is used to classify subjects. Evaluation about the proposed gait recognition method is given according to experiment on the Soton gait database, and the experimental results demonstrate the encouraging performance.

Published in:

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on  (Volume:3 )

Date of Conference:

2-4 Nov. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.