Shagrithaya, K.S.Gurushankar, E.Srikanth, D.Ramteke, P.B.Koolagudi, S.G.2020-03-302020-03-302017Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, Vol.10597 LNCS, , pp.227-232https://idr.nitk.ac.in/handle/123456789/6890Shaky 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.Book chapter