Abstract: Based on Gaussian mixture model,this paper put forward an adaptive moving target detection algorithm．First of all,according to the intensity of pixel values of each pixel,the number of Gaussian distribution is adaptively selected to learn and update background model,again get difference image by background subtraction.Second,in the process of image binarization,an improved method of automatic threshold is proposed to separately classifly difference image pixels after threshold segmentation,so future goal can be obtained.Then the method of morphological reconstruction is adopted to effectively eliminate the shadow,significantly improving prospect target segmentation effect．Experiment proves that the method has good robustness and detection effect,as well as good adaptability.Especially when the grayscale change of detection target itself is large,the superiority of the algorithm is more obvious．

Key words: Hybrid model,Image,Morphology