C. Zhang, P. Chockalingam, A. Kumar, P. Burt and A. Lakshmikumar, “Qualitative Assessment of Video Stabilization and Mosaicking Systems,” 2008 IEEE Workshop on Applications of Computer Vision, 2008, pp. 1-6, doi: 10.1109/WACV.2008.4544008.
Image stabilization is a key preprocessing step in dynamic image analysis, which deals with the removal of unwanted motion in a video sequence. It is principally understood as the warping of video sequences resulting in a total or partial removal of image motion. Stabilization is invaluable for motion analysis, structure from motion, independent motion detection, geo-registration and mosaicking, autonomous vehicle navigation, model-based compression, and many others. Given the usefulness of image stabilization for many applications, a variety of algorithms have been proposed to perform this task, and many real-time systems have been built to stabilize the real-time videos and provide motion data for tracking and geo-registrations. However, even though there are on-line libraries that provide test videos, there has been no established methods or industrial standards based on which the performance of a stabilization algorithm or system can be measured.[…]