Video Object Removal Using Global Motion Based Affine Model
A video object removal method using global motion based affine model is proposed.Non-removal region which is usually regarded as global motion is described by affine model.And then,matching points from two continuous frames are extracted to estimate affine model parameters.By taking account of the recursion of affine model and the global motion coherence,the removal region in each frame is repaired according to the corresponding information of other frames.The experimental results show that the proposed method achieves a better performance in removing objects,such as foreground,logo and so on,than some other methods.