Abstract: The loss of information due to occlusion and other complications has been one of the main bottlenecks in the field of motion estimation.This paper presents a motion estimation algorithm based on dual-tree complex wavelet，taking advantage of its shift invariance and directional selectivity.First，subbands within all orientations in different levels are respectively treated to overcome error propagation induced by frequently used coarse-to-fine searching strategy.Then，the frame next to the current one is used to supplement the lost information due to occlusion and to improve the estimation accuracy within boundary areas.Experimental results show that the proposed method is effective with robustness to intense motion，scene change and occlusion.