In this research, we improved the outcomes of Eulerian Video Magnification in real life scenarios. The proposed system minimizes or eliminates the motion constrained effect. The system will preprocess the video through multi staged tasks using subject targeting and stabilizing. The resulted prepared video will be compatible with Eulerian method bounds. Our method will enable the magnification to be used in variety of applications with presence of motion. Therefore, video analysis for subjects’ skin redness that was captured by a normal camera is easy to use, mobile and less complex.The core
element of the research which is stabilization was achieved by using face tracking and features detection, extraction and matching with skin selection.
Furthermore, the skin tone and illumination in the environment are affecting the results. Since skin redness change is related to blood flow, then controlling the skin redness will enhance the readable information under video magnification.