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In the present paper, an adaptive α - β filtering algorithm is adapted for the motion compensation of EIS(electronic image stabilization). It is characterized of less computation , and easy to be realized in real-time. Inter frame global motion vectors were predicted by feature corners matching based motion estimation. The global camera motion was defined in terms of constant velocity motion models, and adaptive α - β filtering was employed to facilitate smooth operation. Experimental results for many video sequences show that the method can eliminate high frequency dithering , remain the meaningful motion of camera and realize real-time image stabilization satisfactorily. The present algorithm is more robust and higher veracity comparing with other algorithms.