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Video Stabilization Using Linear Consistency Models

There are a number of situations where video is captured sensors mounted on a moving vehicle or robot. Video sequences obtained using a moving camera typically suffer from jitter due to non-smooth components in the camera motion, interfering with the operator’s ability to interpret the scene. In this paper, we address the problem of eliminating the jitter from such sequences by identifying the unwanted components of the camera motion, filtering them out, and re-synthesizing a smoothly flowing sequence. This problem, referred to as “selective stabilization”, is slightly different from the traditional notion of stabilization, which is concerned with bringing all images in the sequence to a common coordinate frame.