By Topic

Extraction of traffic information from images at DEIS

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

1 Author(s)
Viarani, E. ; DEIS, Bologna Univ., Italy

This paper reports about the research work currently going on at DEIS, University of Bologna, on the use of computer vision for extraction of information from urban traffic images. Two algorithms are described: the first, named “virtual inductive loop” (VIL), computes image differences on small windows of the traffic scene between an updated background and the actual window and is specific for vehicle counting and detection. The second algorithm, based on the block matching algorithm (BMA), is particularly suitable for vehicle motion detection and tracking. It consists of a BMA implementation (improved with respect to the standard version) followed by a regularisation step based on a custom median filter, of a labelling algorithm and of a tracking step. Finally, we present our future plan for the research developments concerning these topics

Published in:

Image Analysis and Processing, 1999. Proceedings. International Conference on

Date of Conference: