摘要
跟踪算法是自动跟踪火控系统的关键。提出了一种新的基于模板匹配的跟踪算法,可应用于实时的跟踪系统。该算法由扩张状态观测器(ESO)和序贯相似性(SSDA)匹配算法组成。首先使用扩张状态观测器,可以预测出目标在下一帧图像中的位置,再使用SSDA算法,在预测位置的邻域内进行搜索从而获得目标的准确位置。基于扩张状态观测器的模板匹配算法减少了搜索位置,提高了算法的效率,同时也克服了传统卡尔曼滤波用于目标预测时需要目标模型已知且滤波时间长的缺点。仿真实验证明该算法可以满足实时性要求。
The automatic fire control tracking system is the combat tank fire control system＇s development direction. The maneuvering target tracking algorithm is the key of this system. A novel approved algorithm based on template matching is proposed, which could be applied to the real-time tracking system. It composes of correlation matching algorithm and ESO filter. This algorithm is used to predict the movement and to track the target. By ESO filter, it is the possible to obtain the estimate position of the target in the current image in the estimation position＇s neighborhood results of the algorithm are presented Then the template matching algorithm is used to search target in order to get accurate position of the target. The simulation The comparative analysis has shown better performance characteristics of the proposed algorithm in comparison with the traditional template matching algorithm. Experimental results demonstrate the effectiveness of this method.
出处
《火力与指挥控制》
CSCD
北大核心
2007年第12期21-23,30,共4页
Fire Control & Command Control
基金
国家自然科学基金(60175010)
武器背景预研基金资助项目(1040102.5)
