A Review of Video Stabilization Algorithms

Videos recorded via handheld cameras almost suffer from high-frequency tremor, it is essential to stabilize the video. Video stabilization in computer vision is an algorithm utilized to enhance the quality of images by eliminating unnecessary camera movements and jitters owing to hand jiggling and accidental camera panning. Different strategies were used to stabilize the captured video clips. Several of the existing strategies seem to be either complicated or do not work well for the sluggish and smooth action of portable smartphone videos. The aim is, therefore, to synthesize a special stabilized video stream by discarding the unnecessary motion between the consecutive images of the portable smartphone videos. Numerous 2D, 2.5D, and 3D motion approaches are used in motion estimation and stabilization. This paper provides a review of 2D,2.5D, and 3D based and deep learning-based video stabilization, its strategies.