Superpixel algorithm for objects tracking in satellite video

Moving objects tracking in dynamic scenes is the most important study in satellite video processing. This paper's target is to propose an improved algorithm to track and detect the moving object. The object in the satellite image is a small size, and the ratio between the moving object and the whole frame is tiny. Because the satellite is continuously in motion, the motion vector of object has a high interfere with satellite motion. In order to obtain an identical motion vector for each object, this proposed algorithm presents the architecture based on a superpixel algorithm using simple linear iterative clustering(SLIC) before optical flow motion estimation. The simulation result shows the moving object labeling and prediction succeeded by using proposes algorithm.