Fedor Chelnokov

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The paper is devoted to the description of hybrid pattern recognition method developed by research groups from Russia, Armenia and Spain. The method is based upon logical correction over the set of conventional neural networks. Output matrices of neural networks are processed according to the potentiality principle which allows increasing of recognition(More)
The problem of segmenting color video sequences is addressed. Boundary motion and occlusion relations expressed by labeling rules are argued to be of key importance for segmentation. Interframe motion of object(s) and background is approximated by a similarity or affine transforms. The computation proceeds in several steps: (1) color gradient edges are(More)
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