Fast electronic digital image stabilization

Abstract
We present a fast implementation of an electronic digital image stabilization system that is able to handle large image displacements. The system has been implemented in a parallel pipeline image processing hardware (Datacube Max Video 200) connected to a SUN SPARCstation 20/612. Our technique is based on a 2D feature-based multi-resolution motion estimation algorithm, that tracks a small set of features to estimate the motion of the camera. The combination of the estimates from a reference frame is used to warp the current frame in order to achieve stabilization. Experimental results using video sequences taken from a camera mounted on a moving vehicle demonstrate the robustness of the system when processing 15 frames per second.

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