Saliency driven video motion magnification

The main goal of the proposed work is to detect certain spatial and temporal changes in videos that are not visible to the human eye and magnify them in order to make them perceptible while making sure that the background noise is not amplified. We apply Eulerian motion magnification on only the salient area of each frame of the video. The salient object is processed independent of the rest of the image using alpha matting aided by scribbles. We demonstrate the need to isolate the salient object from background motions and propose a simple and efficient way to do so. The proposed algorithm is tested on videos with imperceptible motion along with background motion to illustrate the significance of the proposed method. We compare the proposed method with linear and phase based Eulerian motion magnification techniques.