As the traditional Gaussian mixture model has the shortcomings of lower robustness under the illumination change and noise interference,an improved video moving object detection algorithm is presented.Based on Gaussian mixture model and six-frame difference,an efficient moving object contour model is established.The stability of the algorithm is enhanced by embedding background replacement method and dynamic threshold segmentation method,and the complete moving foreground pixels can be gotten through connectivity tests and morphology processing.Video object detection results in different scenarios show that this algorithm can effectively solve the problems,such as the illumination abrupt change,noise interference,light cavity and double phenomenon.Compared with the other algorithms,the improved algorithm has higher robustness.