A direct frequency-based phase algorithm for motion estimation

In this paper, we propose an efficient direct method that estimates pure translation motion parameters in dynamic scenes. We develop an algorithm that computes, directly, phase information in Fourier domain. The computations are locally performed and limited to small patches of the image. The local measurement of motion parameters are then combined in a more global interpretation by using parametric images. We demonstrate the performance of our algorithm on synthetic and real image sequences and compare our results with those of two other algorithms based on the Hough transform and the inverse Fourier transform.