In this paper,an improved template matching method based on DESO is studied deeply to meet the practical requirement in real-time and solve occlusion of Target Tracking Fire Control System.Because the proposed algorithm uses target′s motion information that DESO filtered and predicted,it reduces target searching range,shortens matching computed time.At the same time,its robustness is improved due to occlusion judging and handling.Compared with the template algorithms based on other filters,experiment results illustrate the proposed algorithm has superior features,such as its independences to model information,higher prediction precision,stronger anti-occlusion performance,and can meet the practical requirement in real-time.