A new electronic image stabilization technology based on random ferns for fixed scene

Abstract

The paper propose a new electronic image stabilization based on Random Ferns algorithm for the fixed scene. We make an offline training after getting a view of the fixed scene to receive random ferns classifier for image matching and estimating motion. At last we remove the unintentional motion with kalman filter(KF) and make corrections to image sequence to get stable frames. This method is effective with scale, rotation, and shift. What's more, the method is real-time and with high-precision. © Springer-Verlag Berlin Heidelberg 2012.