Abstract:

Aiming at the problem of local error estimate points which occurs in HornSchunck optical flow motion vector,we propose an optical flow motion vector optimization algorithm based on Wiener linear prediction.Firstly,optical flow motion vector is transferred from the Cartesian coordinates to the polar coordinates.Secondly,according to the rules specified in the judgment,suspicious points go through further judgment, and the miscalculated points are revalued using the Wiener linear prediction method.Lastly,the optical flow motion vector is transferred from the polar coordinates back to the Cartesian coordinates,and the optimization of optical flow motion vector is accomplished.The deviation of magnitude and angle misjudged points in optimized HornSchunck optical flow motion vector is decreased obviously in comparison with that of the original HornSchunck optical flow motion vector method.Experimental results demonstrate that the proposed algorithm enhances the accuracy in motion estimation of images and video sequences to a certain extent.

Key words: motion estimate;Wiener linear prediction;motion compensation;coordinate transformation