Hybrid Motion Magnification based on Same-Frame Optical Flow Computations

Abstract

Motion magnification refers to the ability of amplifying small movements in a video in order to reveal important information about the observed scene. In the past, several motion magnification methods have been proposed, but most of them have the disadvantage of introducing annoying visual artifacts in the video. In this paper, we propose a method that analyses the optical flow between each original frame and the corresponding motion-magnified frame and, then, synthesizes a new motion-magnified video by remapping the original video using the generated optical flow map. The proposed approach is able to eliminate the artifacts that appear in Eulerian methods. Also, it is able to amplify the motion by an extra factor of 2 and to invert the motion direction.