Video Stabilization Using Optical Flow

Abstract: This research focuses on developing a robust video stabilization technique to minimize jittery motion in video footage. The proposed method employs optical flow, utilizing the Lucas-Kanade algorithm, to estimate motion between consecutive frames. Affine transformations are applied to align the frames by calculating geometric corrections, ensuring smoother transitions. To further enhance stability, trajectory smoothing is incorporated, which refines the motion corrections and reduces abrupt changes. The study also explores the mathematical principles behind the key processes, including motion estimation and geometric transformations. Furthermore, strategies to optimize the method for high-resolution videos are discussed, emphasizing both computational efficiency and visual enhancement. Experimental evaluation confirms that the proposed approach effectively stabilizes video sequences, making it a practical solution for handheld or dynamic video applications.

Keywords: Video stabilization, Optical Flow, Lucas-Kanade, Affine transformation, Trajectory smoothing, Motion estimation, High-resolution optimization.