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

Suspicious vehicle tracking mechanism using large scale roadside-cameras network

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)
Yi-Chun Chang ; Dept. of Comput. Sci. & Inf. Eng., Hungkuang Univ., Taichung, Taiwan ; Jian-Wei Li ; Chuan-Bi Lin ; Chia-Chi Chang

A great number of roadside-cameras, which are disposed in large scale road net, are the critical component among Intelligent Transport Systems. These roadside-cameras also can be used to track suspicious vehicles by license plate recognition systems. Suspicious vehicle may perform a wide movement on road net. However, most video recognition systems focus on one or several cameras to perform the recognition operation. It results in that a wide vehicle tracking cannot be performed. Therefore, we propose a mechanism to make an overall plan to perform vehicle tracking on large scale roadside camera network according the recognition information acquired from each camera, which includes (i) a logical roadside-camera network topology (LRNT), and (ii) Suspicious vehicle tracking algorithm using LRNT.

Published in:

Information Society (i-Society), 2012 International Conference on

Date of Conference:

25-28 June 2012

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.