Open AccessRESEARCH OF THE METHOD OF INCREASING THE OBJECT DETERMINATION ACCURACY ON THE LOW-RESOLUTION VIDEO STREAM
Author(s) -
Валерій Барсов,
Олена Костерна,
Олександр Плахотний
Publication year - 2021
Publication title -
sučasnì ìnformacìjnì sistemi
Language(s) - English
Resource type - Journals
ISSN - 2522-9052
DOI - 10.20998/2522-9052.2021.2.12
Subject(s) - computer vision , computer science , artificial intelligence , object (grammar) , deconvolution , obstacle , low resolution , algorithm , high resolution , remote sensing , political science , law , geology
Study subject. The article proposes and investigates a method for increasing the accuracy of determination of the distance and the obstacle geometric parameters based on object contours determination using a computer vision system that uses low-resolution sensors. The goal is the effectiveness evaluation of the proposed method. Tasks: to conduct experimental researches of the quality indicators of the method of increasing the object contours determination accuracy; evaluate the effectiveness of this method. Used methods: statistical modeling, laboratory scale tests. The obtained results: the analysis of the proposed method efficiency was carried out and the influence of this method on the determination accuracy of the distance and object geometric parameters was evaluated. Conclusions: the considered method made it possible to achieve the increasing the determination accuracy of the distance and geometric object parameters by compensating for image blur using the Lucy-Richardson deconvolution algorithm. The obtained data showed a decrease in the maximum error in determining the distance from 8% to 4% and the error in the geometric object parameters from 7.7% to 5.8%. The implementation of this approach was carried out in the Python programming language.