Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System

The article considers the approach developed by the authors to adapt the detection algorithm based on the background subtraction method to work in a scanning optoelectronic surveillance system. This algorithm is the basis of the developed image processing method applied to the problem of detecting m...

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Main Authors: E. I. Mikhnionok, A. V. Khizniak
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2022-10-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/3440
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author E. I. Mikhnionok
A. V. Khizniak
author_facet E. I. Mikhnionok
A. V. Khizniak
author_sort E. I. Mikhnionok
collection DOAJ
description The article considers the approach developed by the authors to adapt the detection algorithm based on the background subtraction method to work in a scanning optoelectronic surveillance system. This algorithm is the basis of the developed image processing method applied to the problem of detecting moving objects by an optoelectronic thermal imaging surveillance system. At the same time, this method provides a solution to the tasks of protecting a critical object with an optoelectronic surveillance system, which must function both in stationary and scanning mode. The use of an improved mixture of Gaussian distributions to build a background model makes it possible to adapt to periodic changes in pixel brightness from dynamic background elements of the observed scene. However, the application of this detection algorithm in a scanning optoelectronic system requires the solution of the following problematic issues: the exclusion of false highlighting of the areas of the processed image in the foreground when transferring the sensor field of view; the elimination of errors in the initial values of the parameters of a mixture of Gaussian distributions. The application of the approach proposed by the authors to solving these issues is implemented in a specialized optoelectronic surveillance system and allows achieving the same quality of the detector based on the background subtraction method in scanning mode as in stationary mode.
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spelling doaj.art-5372a0c91b1243cf9f7e6736907971012023-03-13T07:33:23ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482022-10-01206303610.35596/1729-7648-2022-20-6-30-361834Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance SystemE. I. Mikhnionok0A. V. Khizniak1Military Academy of the Republic of BelarusMilitary Academy of the Republic of BelarusThe article considers the approach developed by the authors to adapt the detection algorithm based on the background subtraction method to work in a scanning optoelectronic surveillance system. This algorithm is the basis of the developed image processing method applied to the problem of detecting moving objects by an optoelectronic thermal imaging surveillance system. At the same time, this method provides a solution to the tasks of protecting a critical object with an optoelectronic surveillance system, which must function both in stationary and scanning mode. The use of an improved mixture of Gaussian distributions to build a background model makes it possible to adapt to periodic changes in pixel brightness from dynamic background elements of the observed scene. However, the application of this detection algorithm in a scanning optoelectronic system requires the solution of the following problematic issues: the exclusion of false highlighting of the areas of the processed image in the foreground when transferring the sensor field of view; the elimination of errors in the initial values of the parameters of a mixture of Gaussian distributions. The application of the approach proposed by the authors to solving these issues is implemented in a specialized optoelectronic surveillance system and allows achieving the same quality of the detector based on the background subtraction method in scanning mode as in stationary mode.https://doklady.bsuir.by/jour/article/view/3440detection of moving objectsoptical-electronic surveillance systemscanning mode
spellingShingle E. I. Mikhnionok
A. V. Khizniak
Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
detection of moving objects
optical-electronic surveillance system
scanning mode
title Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System
title_full Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System
title_fullStr Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System
title_full_unstemmed Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System
title_short Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System
title_sort features of the application of the detection algorithm based on the background subtraction method in the scanning optoelectronic surveillance system
topic detection of moving objects
optical-electronic surveillance system
scanning mode
url https://doklady.bsuir.by/jour/article/view/3440
work_keys_str_mv AT eimikhnionok featuresoftheapplicationofthedetectionalgorithmbasedonthebackgroundsubtractionmethodinthescanningoptoelectronicsurveillancesystem
AT avkhizniak featuresoftheapplicationofthedetectionalgorithmbasedonthebackgroundsubtractionmethodinthescanningoptoelectronicsurveillancesystem