红外成像自动调焦评价函数的计算耗时较多，对自动调焦的实时性有很大的影响。选择整幅图像中最重要的目标 区域作为自动调焦评价对象，可有效解决传统的对焦窗口选择方法不适合动目标的问题，并可在保证调焦精度的同时有效降低系 统的计算量和大大改善自动调焦的效率。为了快速有效地找到该区域，提出了基于模板匹配、可使对焦窗口缩小并锁定在目标区域 的动目标对焦窗口选择方法。实验结果表明，该方法具有运算复杂度低、针对性强等优点，且其调焦特性曲线的灵敏度也较高。

Calculation of the auto-focusing evaluation function for infrared images is time-consuming and has a great influence on the real-time auto-focusing. By selecting the most important target area in an image as an auto-focusing evaluation object, the problem that the traditional focus window selection method is not suitable for moving targets can be solved effectively. To find the most important target area in an image effectively, a moving target focus window selection method based on template matching is proposed. With this method, the focus window can be shrinked and locked in the target area. Experimental results show that this method has the advantages of low calculation complexity and better pertinence etc. and its auto-focusing curve sensitivity is better.