Aiming at moving object detection, the current algorithm has certain applicability and limitations, as well as incomplete detection information. Based on the inter-frame difference method and hybrid Gaussian model, an improved hybrid Gaussian model target detection algorithm is proposed. To solve the problem of incomplete background contours of moving targets caused by the inter-frame difference method. This method is based on the traditional mixed Gaussian model, within a certain number of frames, checks the weights of all Gaussian distributions, deletes the Gaussian distributions that meet the conditions, and finally obtains a moving target with a clearer outline. The experimental results show that the algorithm in this study fully considers the influence of background characters on moving target monitoring. During the experiment, real grid data is used. The result shows that the proposed algorithm is 3.37% more accurate than other algorithms, with better accuracy and better adaptability to the environment.