A survey on digital video stabilization

Abstract

Shakes and jitters are an eventual result of involuntary camera movements during video recording. Digital video stabilization is the elimination of these errors with smart algorithms. This process is usually performed in three steps which are camera motion estimation, motion correction, and stable video synthesis. In the literature, methods differ by the way they perform these steps. The recent success of deep learning has pioneered learning-based video stabilization approaches. This paper provides a detailed explanation of video stabilization methods by analyzing and comparing the applied approaches from past to present.