Commission errors often arise when Gaussian mixture models (GMMs) are applied to detect moving objects in situations where foreground and background have similar colors.To improve the robustness of the segmentation method，a moving object detection method is proposed by combining a Gaussian mixture model with the wavelet transform.The wavelet transform is employed to extract texture information and a GMM is employed to update the background.Color information and texture information are integrated for segmentation.The method improves the abilities of convergence and stability，and also decreases commission errors occuring in methods which only use color information.Experimental results indicate that the proposed method is superior to the traditional GMM.