TY  - JOUR
T1  - Video Inpainting Based on Background Modelling
AU - Hadi Ali, Israa AU - Mustafa Ehsan, M. 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 6
SP  - 1382
EP  - 1385
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1382.1385
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1382.1385
KW  - Video inpainting
KW  -background model
KW  -remove object
KW  -video editing
KW  -video tracking
KW  -computational
AB  - In this study, proposes an efficient method for video inpainting that based on statistical modified
background modeling. Deferent challenges and situations can be handled in this algorithm with a good result
and less computational cost. There are three major steps in this proposed methodology, in the first step the
proposed system makes an estimation to the background of the video to get the background. The second step
which is subtracted each frame of input video from the background model in order to get the foreground objects
to be deleted. Third step the method detects the trajectory of the target object that selected by the user and
shutting off its pixels. Finally, finding the appropriate pixels from the background to be assigned instead of the
target object pixels.
ER  -