@article{MAKHILLJEAS201813615800,
    title = {Video Inpainting Based on Background Modelling},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {6},
    pages = {1382-1385},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.1382.1385},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.1382.1385},
    author = {Israa and},
    keywords = {Video inpainting,background model,remove object,video editing,video tracking,computational},
    abstract = {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.}
    }