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

Multi-feature walking pedestrians detection for driving assistance systems

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 $31
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)
Bota, S. ; Tech. Univ. of Cluj-Napoca, Cluj-Napoca ; Nedesvchi, S.

Pedestrians are the most vulnerable urban traffic participants. In order to better protect them in pre-crash scenarios, it is necessary to detect them. Unfortunately, pedestrian detection is very difficult in highly cluttered urban scenarios, using cameras mounted on moving vehicle. A novel approach to walking pedestrian detection, using dense stereo vision systems, is presented. Multiple features combined into a Bayesian framework are used to yield a high rate of pedestrian detection. The feature set includes simple features such as width, height, lateral and longitudinal speed. It also includes complex motion features, such as the variance of the motion field caused by the pedestrians' legs and arms moving during walking and the periodicity of the pedestrians' walking pattern.

Published in:

Intelligent Transport Systems, IET  (Volume:2 ,  Issue: 2 )

Date of Publication:

June 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.