A fundamental problem in processing sequences of images is the computation of the optical flow, an approximation to the real image motion. This paper presents a new algorithm for optical flow estimation based on a spatiotemporal-frequency approach, specifically on the computation of the WignerVille distribution and the Hough Transform. Experimental results are compared with an implementation of the variational technique for local and global motion estimation, where it is shown that the results are accurate and robust to noise degradations.