Robust global motion estimation for video stabilization

Abstract

Global motion estimation is an important task for video stabilization. Since the global motion is heavily related to the motion of the background (BG), the moving foreground (FG) objects can cause inaccurate global motion estimation. In this paper, we propose a robust global motion estimation method for video stabilization. The proposed method iteratively finds the feature points (FPs) in the BG and estimates the global motion using the BG FPs. The experimental results show that the proposed method can estimate the global motion even when the moving FG objects occupy a large part of image.