Video stabilization using robust feature trajectories

This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation and image composition. Camera motion is often estimated based on pairwise registration between frames. Thus, these methods often assume static scenes or distant backgrounds. Furthermore, for scenes with moving objects, robust methods are required for finding the dominant motion. Such assumptions and judgements could lead to errors in motion parameters. Errors are compounded by motion compensation which smoothes motion parameters. This paper proposes a method to directly stabilize a video without explicitly estimating camera motion, thus assuming neither motion models nor dominant motion. The method first extracts robust feature trajectories from the input video. Optimization is then performed to find a set of transformations to smooth out these trajectories and stabilize the video. In addition, th...

• Type: Conference
• Year: 2009
• Where: ICCV
• Authors: Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouhyoung
• Keywords: Computer Vision, Eature Trajectories, ICCV 2009, Video Stabilization