While the image-guided target tracking system is tracking, image rotation, the changes of the scale of targets and imaging perspectives will cause tracking drift problems. In order to solve these problems, a method of correcting and updating the matching template using the position and orientation information of the camera was proposed. According to the relative position and orientation information of camera and targets, the objective perspective imaging model was established as well as the template correction equation of different camera position and orientation; the correction equation was decomposed into two parts which were the rotation of real-time image and the affine transformation of template to reduce the changes in error; the update strategy relative to the correlation coefficient and the distance information was designed to adapt to the changes while target tracking system was gradually close to the target. The algorithm had been validated using the flight simulation video generated by the visual-based simulation software Vega Prime. The experimental results show that the proposed algorithm can effectively adapt to the changes of the target scale, imaging perspective as well as image rotation while the image-guided tracking system is tracking, and it reduces the tracking drift.%针对图像制导目标跟踪系统在跟踪过程中,由于图像旋转、成像视角和目标尺度的变化带来的跟踪漂移问题,提出一种利用摄像机的位姿信息的匹配模板校正和更新方法.根据摄像机与目标的相对位姿信息,建立目标透视成像模型以及不同摄像机位姿情况下的模板校正方程；将校正方程分解为实时图像旋转和模板仿射变换两部分减小模板变换的误差；通过设计与相关系数和距离信息相关的模板更新策略达到适应跟踪系统逐渐接近目标过程中目标的变化.采用基于视景仿真软件Vega Prime产生的模拟飞行视频对算法进行了验证.实验表明所提算法能够适应图像制导跟踪系统在跟踪过程中目标尺度、成像视角以及图像旋转的变化,减小跟踪漂移.
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