Visualization and Intelligent Systems Laboratory
VISLab

 

 

Contact Information

VISLab
Winston Chung Hall Room 216
University of California, Riverside
900 University Avenue
Riverside, CA 92521-0425


Tel: (951)-827-3954

CRIS
Bourns College of Engineering
UCR
NSF IGERT on Video Bioinformatics

UCR Collaborators:
CSE
ECE
ME
STAT
PSYC
ENTM
BIOL
BPSC
ECON
MATH
BIOENG
MGNT

Other Collaborators:
Keio University

Other Activities:
IEEE Biometrics Workshop 2014
IEEE Biometrics Workshop 2013
Worshop on DVSN 2009
Multibiometrics Book

Webmaster Contact Information:
Alex Shin
wshin@ece.ucr.edu

Last updated: July 1, 2017

 

 

Moving Shadow Detection Using a Physics-based Approach

Presented by: Sohail Nadimi

ABSTRACT: Moving object detection systems generally detect shadows cast by the moving object as part of the moving object. I address the problem of separating moving cast shadows from the moving objects in outdoor environment. Unlike other previous work, we provide a method that does not use any geometrical information.

Our physics-based approach is based on a spatio-temporal 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.