In view of the insufficiency of background difference method and interframe difference method in moving targets, the real-time and accuracy of moving object detection are improved. In this paper, a moving object detection method combining background difference and inter-frame difference is proposed. This method simulates the detection method of human eye on moving target, which is divided into two parts: Global perception and precise perception. First, the image is divided into multiple regions and the background model is established using fewer pixels. The background model is used to determine the region where the moving object is located, and the images of other regions are stored as the background image. The current image of the changed region is then used to perform a differential operation with the stored background image of the region to obtain a clear moving target. This method uses less pixels to construct the background model, which reduces the amount of calculation of the background model establishment and update, and improves the speed of the operation. By separating the stored background image from the current image, a complete moving target can be obtained, avoiding the appearance of “holes”.