Abstract

In many domains where images are produced and acquired, the field of view of cameras can be subject to oscillations and movements, which can induce errors in the interpretation of the frame contents and can even jeopardize the analysis of the videos. The problem is particularly severe in applications such as nuclear fusion, in which, typically, no stable and reliable reference points exist within the camera fields of view to register the frames. A nonadditive form of entropy <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Sq</i> , which is more sensitive to long-range correlations than the Shannon entropy, has been applied to the problem of automatically detecting such camera movements in the videos of a JET wide-angle infrared camera. A systematic analysis of the results, covering more than 110 000 frames, has been undertaken, and the results obtained, reaching a total success rate of almost 97%, are more than satisfactory.

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