为了使电视跟踪系统在自动作业时能够抵抗外界干扰，提出了一种基于二级精度的运动目标精确提取和快速跟踪方法。该方法采用二次帧差法与四分图像的双波门法对视频图像进行处理，自动获取运动目标的初始模板，然后根据轨迹预测算子对目标进行自适应特征匹配实现有效跟踪。在某电视跟踪系统中应用该算法进行低空飞行目标跟踪实验，取得了良好的跟踪效果。实验结果表明，该方法不仅满足目标跟踪的实时性，而且能够有效提高目标识别的准确率。

In order to enable TV tracking system to resist external interference when operating automatically, a second order accuracy scheme is proposed to automatically extract and fast track the moving targets. First, a double frame-difference method is presented to obtain the initial template of the input video image combined with the double gate approach of the quartered images. Then, we track the object effectively according to a trajectory prediction operator and adaptive feature matching technique. In a TV tracking system, the algorithm proposed in this paper has been applied in experiments of low-altitude flying targets tracking, which have achieved good tracking results. The results of the experiments show that the proposed method not only meets the real-time target tracking, but also can effectively improve the accuracy of the target identification.