By Topic

Vehicle classification using stereo vision

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)
Burden, M.J.J. ; Transp. Oper. Res. Group, Newcastle upon Tyne Univ., UK ; Bell, M.G.H.

A strategy for matching stereo pairs using feature similarity has been developed using the SUSAN corner detector to locate the feature primitives. The use of stereo vision provides information regarding a vehicle's position on the road and allows each object to be clearly distinguished. Using a hypothesis and test strategy, instantiation of models into a scene allows automatic identification of visible and partly visible features. Using a user defined ranking system an image can be tested for distinguishing features. The region of the scene in which to test for the features is defined by the model instantiation. Perspective distortion and camera to viewscreen transformation allows the features to be instantiated in a realistic fashion. The instantiated features can therefore be regarded as templates for matching purposes

Published in:

Image Processing and Its Applications, 1997., Sixth International Conference on  (Volume:2 )

Date of Conference:

14-17 Jul 1997