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Segmenting Simply Connected Moving Objects in a Static Scene
November 1994 (vol. 16 no. 11)
pp. 1138-1142

A new segmentation algorithm is derived, based on an object-background probability estimate exploiting the experimental fact that the statistics of local image derivatives show a Laplacian distribution. The objects' simple connectedness is included directly into the probability estimate and leads to an iterative optimization approach that can be implemented efficiently. This new approach avoids early thresholding, explicit edge detection, motion analysis, and grouping.

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Index Terms:
probability; statistical analysis; optimisation; iterative methods; image segmentation; simply connected moving objects; static scene; segmentation algorithm; object-background probability estimate; statistic; local image derivatives; Laplacian distribution; iterative optimization approach
M. Bichsel, "Segmenting Simply Connected Moving Objects in a Static Scene," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 11, pp. 1138-1142, Nov. 1994, doi:10.1109/34.334396
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