Video Stabilization Using Sliding Frame Window

Abstract

Shaky videos are visually unappealing to viewers. Digital video stabilization is a technique to compensate for unwanted camera motion and produce a video that looks relatively stable. In this paper, an approach for video stabilization is proposed which works by estimating a trajectory built by calculating motion between continuous frames using the Shi-Tomasi Corner Detection and Optical Flow algorithms for the entire length of the video. The trajectory is then smoothed using a moving average to give a stabilized output. A smoothing radius is defined, which determines the smoothness of the resulting video. Automatically deciding this parameter’s value is also discussed. The results of stabilization of the proposed approach are observed to be comparable with the state of the art YouTube stabilization. © 2017, Springer International Publishing AG.