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The fuzzy parametrized model for classifying blocks in the non-binary motion mask

P. 557–562.
Bronevich Andrey G., Matsypaev D.

The motion detection in video is considered. We break non-binary motion mask on blocks and calculate a certain statistics for each block. Then we use prior information about statistics distribution to classify blocks on background and foreground. The estimation framework for classification confidence is presented.

Language: English
DOI
Text on another site
Keywords: imprecise probabilitiesblock representationfuzzy model

In book

Proc. 5th International Conference Pattern Recognition and Machine Intelligence (PReMI'2013)
Vol. LNCS 8251. , Berlin, Heidelberg: Springer, 2013.
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Added: September 25, 2013
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