Video Stabilization System Based on Speeded-up Robust Features

Abstract. In this paper,a fast and efficient video stabilization method based on speeded-up robust features (SURF) is presented.We adopted speeded-up robust features as feature descriptor,which are extracted and tracked in each frame.After that, we further refined the matching features through RANSAC, estimating the motion parameters through least squares method and computed the integrated motion. Experimental results illustrate superior performance of the SURF based video stabilization in terms of accuracy and speed when compared with the Scale Invariant Feature Transform (SIFT) based stabilization method