TY  - JOUR
T1  - Adaptive Background Modelling and Shadow Removal for
Video Surveillance System
AU - Ali Joda, Fanar AU - Abdulkhaleq Al Asadi, Tawfiq 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 24
SP  - 7689
EP  - 7695
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.7689.7695
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.7689.7695
KW  - Background modelling
KW  -object detection
KW  -morphological process
KW  -HSV color space
KW  -shadow removal
KW  -calculated
AB  - Object detection and moving cast shadow removal are crucial steps in video surveillance system. In
this study, we have proposed background modelling algorithm for objects detection has ability to update
threshold when illumination is changed which leads to increase the performance of surveillance system instead
of other methods that suffer from a general threshold for all cases which fail when there is a change in
illumination. In addition, moving cast shadow removal algorithm is proposed it consists of two stages, the first
one, candidate shadow regions are obtained by using weak detector. The second one, correlation is calculated
between reference and current frames of candidate shadow regions, this stage aims to classify pixels of
candidate shadow regions into shadow and foreground object.
ER  -