In order to improve the accuracy of global motion estimation, this paper proposes a global motion estimation method based on oriented FAST and rotated BRIEF (ORB) features. Firstly, the difference image is divided into blocks, and the effective background motion module is selected by setting the threshold. Then, the selected background modules are matched by the ORB feature, and substituted into the six-parameter motion model. Finally, the estimation parameters are solved by the least squares method, which are used to compensate the current frame. Compare the sharpness of the target contour of difference image before and after compensation. The experimental results demonstrate that the proposed algorithm can effectively remove the influence of the local motion and ensure the accuracy of the global motion estimation, while ensuring the effectiveness of the algorithm.