Abstract: To solve the accurate detection of air surface moving targets effectively under complicated environment,an adaptive double-threshold detection method of airport surface moving target was proposed.Firstly,Gaussian mixture model is adopted to extract the background image,and then foreground object of difference image is partitioned off by means of the two threshold value.Namely,low-threshold is used for coarse segmentation to detect moving object,which is obvious.In addition,high-threshold is used for fine segmentation to remove noise target and false target based on coarse segmentation.Finally,airport surface moving target is detected and segmented accurately.The experimental results of complicated background show that this method can avoid the noise,has robustness for the slower moving target and is effective for detecting.

Key words: Double-threshold,Gaussian mixture model,Background image,Difference image,Foreground object