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

Human action recognition using robust power spectrum features

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

4 Author(s)
Ragheb, H. ; Digital Imaging Res. Centre, Kingston Univ., London ; Velastin, S. ; Remagnino, P. ; Ellis, T.

We propose a new method for human action recognition from video streams that is fast and robust to noise and to large changes in camera views. We start by extracting features in the Fourier domain once we obtain the bounding boxes containing the silhouettes of a human for a number of video frames representing a basic action. After preprocessing, we divide each space-time volume into space-time sub-volumes (STSV) and compute their corresponding mean-power spectra as our feature vectors. Our features result in high classification performance even with simple distance measures. We perform an experimental comparison, using the same data, between our method and two state-of-the-art methods.

Published in:

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Date of Conference:

12-15 Oct. 2008

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.