TRACKING DIM POINT-SOURCE TARGET IN IMAGE SEQUENCES WITH GENETIC ALGORITHM
基于遗传搜索的低信噪比图像点目标跟踪算法

A fast algorithm is proposed for tracking low observable point-source targets of unknown position and velocity in a digital image sequence. It combines genetic algorithms and multistage hypothesis tracking method. The simulation results show that it can detect and track targets computational efficiently with SNR<2. According to the difficulties of tracking point source targets with low SNR, coding and genetic operation are designed for this problem. Eligible points retaining as a new genetic operation is proposed here.