The computation complexity of motion estimation and disparity estimation for multiview video encoding was so huge. In order to resolve the problem, a new method for disparity estimation was proposed in the paper, which was combined with motion estimation. In the time domain, Kalman filtering was established for motion state of each view's macroblock, the motion vector of current macroblock was predicted by Kalman filtering. The thesis analyzed the geometry relationship of motion vector and disparity vector in the space domain based on motion estimation, and calculated the present macroblock's parity vector. Experimental results show that the method proposed in this paper not only saves encoding time substantially but also keeps rate distortion, compared to the full search and fast algorithm.