By Topic

Moving shadow detection using a physics-based approach

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

2 Author(s)
Nadimi, S. ; Center for Res. in Intelligent Syst., California Univ., Riverside, CA, USA ; Bhanu, B.

Moving object detection systems generally detect shadows cast by the moving object as part of the moving object. In this paper the problem of separating moving cast shadows from the moving objects in an outdoor environment is addressed. Unlike other previous work, we provide a method that does not use any geometrical information. Our approach is based on a spatiotemporal albedo normalization test and a dichromatic reflection model. The physics based model is used both in the estimation and verification phases. We provide results for several different video sequences representing a variety of materials and shadows. We achieve excellent results in distinguishing moving objects from their shadows. The results indicate that our approach is robust to a variety of background and foreground materials and varying illumination conditions.

Published in:

Pattern Recognition, 2002. Proceedings. 16th International Conference on  (Volume:2 )

Date of Conference:

2002