A Proposed Method for Background Subtraction and Adding Scribbles in Video Matting

Identifying moving objects from a video sequence is a fundamental task in most computer-vision applications. It is essential for visual tracking systems. In this paper, a new algorithm for background subtraction has been proposed and evaluated. Decision-level fusion of three background subtraction algorithms; frame difference, approximated median, and Mixture of Gaussians; has been utilized. It has been found that the percentage error for each frame has reduced remarkably when applying the proposed technique. Moreover, an entirely-automatic algorithm for adding scribbles in video matting is proposed to improve video matting results depending on the suggested background subtraction algorithm. The overall performance is evaluated. The average error has been reduced effectively and the overall performance has been enhanced.