Cloudy sky velocity estimation based on optical flow estimation leading with an entropy criterion

In a surveillance system in an aerospace environment which has the task of detecting a source a long distance away and thus has a very low resolution, cloudy sky velocity estimation should allow a lower rate of false alerts in discriminating the motion between the different patterns. This kinematic field estimation with little apparent motion could be effective by using the generalized Hough transform method or with a differential method based on optical flow by which one should locally obtain the kinematic field estimation. The paper aims at showing and adapting this differential method in areas where there is motion. These areas are detected by means of an entropy criterion. The method can discern the global movement of objects whatever their form. A local kinematic vector estimation method, based on the least mean squares is then tested