Trajectory extraction algorithm of moving point targets in star background

Based on the analysis of the characteristics of star image and point target, an investigation about the algorithm for trajectory extraction of moving point targets in sequence star images is carried out. A track-association algorithm based on the limited frames Least Squares method is put forward. In the single frame processing, after these steps of image difference of related frames, auto threshold segmentation, calculating 8-directions-connected fields, centroid method of gray-scale weighted etc are carried out in turn, doubted targets are rapidly located. In the sequence image frames processing, according to the supposition that target moving trajectory is approximate beeline, continuity and relativity of movement, target position are predicted by Least Squares method. The real targets are associated and matched in the searching windows which midpoints are located on the predicted positions. The real target moving trajectory is extracted by doubting grade checkout. The complete set of algorithms are used to process sequence star images that are focused in the real condition, and obtain satisfied results.