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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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Recently, generalized credal sets have been introduced for modeling contradiction (incoherence) in the information. In previous papers, we did not discuss how such information could be updated if some events occur. In this paper, we show that it can be done by the conjunctive rule based on generalized credal sets.We show that the application of generalized credal sets results in ...
Added: September 25, 2019
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, Proceedings
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In the paper we continue investigations started in the paper presented at ISIPTA’15, where the notions of lower and upper generalized credal sets has been introduced. Generalized credal sets are models of imprecise probabilities, where it is possible to describe contradiction in information, when the avoiding sure loss condition is not satisfied. The paper contains ...
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In the paper we consider the generalization of the conjunctive rule in the theory of imprecise probabilities. Let us remind that the conjunction rule, produced on credal sets,gives their intersection and it is not defined if this intersection is empty. In the last case the sources of information are called contradictory1. Meanwhile, in the Dempster-Shafer ...
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Compiegne: Universite de Technologie de Compiegne, 2013.
Added: September 25, 2013
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