Abstract: According to the airborne jitter，dynamic background and internal noise of the airborne infrared weak targets，target detection has become a difficult problem.In this article，a kind of convolution template，which combined with filtering algorithm，is presented for image preprocessing.Then in order to estimate the background，the reflection model of global motion is proposed.What’s more，by using adaptive background subtraction algorithm and clustering recognition，the suspected targets can be extracted.Those suspected targets are used for pipeline regionalization，that is，suspected targets trajectory with continuity are the real goals，otherwise are false targets.

Key words: infrared image sequence, block matching, background estimation, background difference, clustering recognition, target detection

摘要： 针对机载红外弱小目标机载抖动、动态背景以及内在噪声等导致目标难检测问题，提出一种卷积模板并结合滤波算法，进行图像预处理，然后利用全局运动反射模型估计背景，再应用背景差分以及目标聚类识别，提取疑似目标，最后利用这些疑似目标进行管道区域化判定，即目标轨迹具有连续性出现的疑似目标是真目标，否则为假目标。

关键词: 红外图像序列, 块匹配, 背景估计, 背景差法, 聚类识别, 目标检测