Multi-Level Thresholding And Confidence Testing Detection Algorithm For Small Moving Target In Image Sequences

This paper describes a new method of small target detection according to the features of small moving targets. This method bases on multi level threshold decision-making and sliding trajectory confidence testing technology. Energy accumulating, multi-level thresholding, trajectory searching and matching, and trajectory confidence testing are combined in this method. The detection resolves the contrary requirement of real-time processing, large data throughput, high detection capability in small moving target detection in IR image sequences.Experiments have been conducted, the results show that the algorithm has advantages of high detection probability, simple structure, and excellent real time performance.