Video Stabilization Using Feature-Based Classification

Abstract

This paper proposed a video stabilization algorithm to cluster the undesired motion features before smoothing. Our method calculates the direction of movement from the features then estimate by directional statistics and K-mean to find out the global motion and motion of moving object. The motion will be smoothed by low pass Alpha-trimmed filter. The experimental show the effectiveness of our proposed method. © 2018 IEEE.