Digital video stabilization based on multilayer gray projection

Video stabilization is an important video optimization technology which is aimed at removing unconscious shakiness from videos. In this paper, we present a multilayer gray projection method to estimate image motion. While classical gray projection works only on the videos which just have translation. To achieve this, a multilayer gray projection algorithm is proposed to estimate translation, rotation and scaling motion between target and reference images. First, differential gray projection is applied to the test and target images to estimate relative image translation, the best projection results can help us find corresponding projection center of ring-projection and circular projection in the next two steps. We then calculate the scaling and rotation between test and target images by doing ring-projection and circular projection. The performance of our method is tested by robust experiments, estimation accuracy analysis and experiments over several videos.