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Registration Number

0220U102475, 0119U100755 , R & D reports

Title

Methods and means of structural and statistical identification of hierarchical objects by the characteristic points of their contours.

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Head

Zahorodnia Diana I., Кандидат технічних наук

Registration Date

16-03-2020

Organization

Ternopil National Economic University

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The object of study is the process of processing visual information and making decisions under uncertainty in automated video surveillance systems. The subject of the study are methods and means of identifying objects that increase the efficiency of automated video surveillance systems. The aim of the project is to develop methods and tools aimed at increasing the efficiency of automated video surveillance systems by reducing the amount of data processed. Research Methods - hierarchical data structures; structural and statistical features; cluster analysis and identification vectors. The results of the study and their novelty: as a result of performing the first stage of scientific work, a method for the selection of characteristic points of the contour with adjustable detailing of objects was first developed, based on the wavelet analysis of the curvature function, which allowed to reduce the number of contour points according to the purpose of processing; further developed: 1) the Cannier contour segmentation method, which is distinguished by the use of wavelet functions to emphasize differences in image intensity, which made it possible to obtain the contouring preparations of a hierarchical object with adjustable detail; 2) a combined adaptive method of hierarchical object identification based on the hierarchical sequence of identification vectors calculated on the basis of characteristic points of a contour object with controlled detail, which made it possible to increase the efficiency of automated video surveillance systems with high accuracy.

Product Description

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Datsko Mykola M
Dorosh Vitalii I
Zahorodnia Diana I.
Zolotukhin Denys V
Kit Ivan R
Kaniovskyi Andrii A
Lipyanina-Honcharenko Hrystyna V.
Lendiuk Dmytro T
Pastukh Taras I.
Sydor Andriy I.

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2020-04-01