提出了一种在变化背景中利用相关特征匹配来检测移动目标的方法，该方法利用图像的灰度均值及灰度均方差作为自适应阈值过滤原图像，将图像中的目标物分离；提取特征并将特征参数化，利用特征参数欧式距离检测目标；通过检测连续多帧图像，对图像中非移动目标进行过滤，最终得到移动目标。该方法与相关系数法检测移动目标的方法相比减少了计算量，并且相邻图像中存在部分相同背景的情况不影响检测结果。实验结果证明，该方法能在变化背景图像中有效地检测到运动目标。

This paper proposes a method of detecting moving objects against changing background based on correlative feature matching. The result of the mean of pixel value minus the variance of pixel value is used as the adaptive threshold to separate the object from the background; the features are extracted and parameterized from the image; using the Euclidean distance between the feature to detect objects; Filtering the static object through three continuous frame. This method reduce the calculation greatly compare to the method using correlative parameter, and the method is not subject to the same background between the neighbouring frames. The validity of the method is proved by experiment.