By Topic

New method of background update for video-based vehicle detection

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

3 Author(s)
He Zhiwei ; Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China ; Liu Jilin ; Li Peihong

Video-based vehicle detection is one of the most valuable techniques for the intelligentization of modern transportation system. The famous widely used video-based vehicle detection technique is the background subtraction method. The key problem of this method is how to compute and update the background effectively and efficiently. A new background generation method was proposed. The method utilized the Gaussian distribution to model each point of the background image. To deal with the sudden change of the brightness, the mean brightness of the regions with no moving objects in them was used to make compensation. Results showed that the proposed method could generate and update the background quickly and efficiently.

Published in:

Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on

Date of Conference:

3-6 Oct. 2004