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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.
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