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Global motion estimation from semi-dynamic video using motion sensors

Global motion estimation (GME) techniques have been developed and usually applied on video where motion takes place often. Although these methods produce accurate results where frequent motion occurs, they turn out to be inefficient if motion is not so often in the video, as in semi-dynamic video. In this paper, we propose motion sensors that indicate the existence of motion and yield a quick approximation to the motion when motion exists thus removing the computations of the hierarchical evaluation of low-pass filtered images as in iterative descent methods.