Application of adaptive α-β filtering algorithm to electronic image stabilization

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.