Visual Background Extractor (ViBe) is a popular moving object detectio n algorithm,which has a high efficiency and a good detection effect.However,ViBe algorithm is sensitive to illumination changes and motion shadows and extracts movement area incompletely.At present,most researchers im prove ViBe algorithm in gray space,which does not effectively use the color information of the image.Relate d research shows that the moving object detection algorithm based on Lab color space has higher recognition rate and lower false detection rate. Therefore,this paper studies ViBe algorithm in Lab color space and proposes a V iBe moving object detection algorithm based on adaptive Lab color difference threshold.For matching pixels with background model,the algorithm adaptively determines color difference threshold of each pixel accordi ng to the influence of local changes in luminance and color spatial frequency to human visual system.Then,t he algorithm makes use of space consistency of neighborhood pixels to correct the result of pixel classifi cation.Finally,it counts pixel numbers of all connecting areas to remove small moving objects.Experiments show that the algorithm proposed is less sensitive to illumination changes and motion shadows,and makes extracte d movement area more complete than the original ViBe algorithm both in indoor and outdoor environment s.