AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS
The methods and algorithms of a compact on-board image recognition module to be used as a part of monitoring systems is presented. The main goal of the module is significantly reduction in the amount of image and video data, which should be stored on board and/or transmitted to a surface station. Th...
Main Authors: | , , |
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Format: | Article |
Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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Online Access: | https://doklady.bsuir.by/jour/article/view/567 |
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author | V. A. Kovalev A. A. Kalinovsky A. A. Dmitruk |
author_facet | V. A. Kovalev A. A. Kalinovsky A. A. Dmitruk |
author_sort | V. A. Kovalev |
collection | DOAJ |
description | The methods and algorithms of a compact on-board image recognition module to be used as a part of monitoring systems is presented. The main goal of the module is significantly reduction in the amount of image and video data, which should be stored on board and/or transmitted to a surface station. This is achieved by way of real-time recognition of frames of input video sequence and pre-selection of those similar to the given target image classes. It is supposed the module can be used as a part of remote monitoring systems based on drones and small-size satellites. |
first_indexed | 2024-04-10T03:14:01Z |
format | Article |
id | doaj.art-0344d7dba5e94d719ff87d5c8ddce630 |
institution | Directory Open Access Journal |
issn | 1729-7648 |
language | Russian |
last_indexed | 2024-04-10T03:14:01Z |
publishDate | 2019-06-01 |
publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
record_format | Article |
series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
spelling | doaj.art-0344d7dba5e94d719ff87d5c8ddce6302023-03-13T07:33:15ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01073844566AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMSV. A. Kovalev0A. A. Kalinovsky1A. A. Dmitruk2Объединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиThe methods and algorithms of a compact on-board image recognition module to be used as a part of monitoring systems is presented. The main goal of the module is significantly reduction in the amount of image and video data, which should be stored on board and/or transmitted to a surface station. This is achieved by way of real-time recognition of frames of input video sequence and pre-selection of those similar to the given target image classes. It is supposed the module can be used as a part of remote monitoring systems based on drones and small-size satellites.https://doklady.bsuir.by/jour/article/view/567распознавание изображениймониторингавтоматическая классификация |
spellingShingle | V. A. Kovalev A. A. Kalinovsky A. A. Dmitruk AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki распознавание изображений мониторинг автоматическая классификация |
title | AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS |
title_full | AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS |
title_fullStr | AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS |
title_full_unstemmed | AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS |
title_short | AN ONBOARD IMAGE RECOGNITION MODULE FOR MONITORING SYSTEMS: METHODS AND ALGORITHMS |
title_sort | onboard image recognition module for monitoring systems methods and algorithms |
topic | распознавание изображений мониторинг автоматическая классификация |
url | https://doklady.bsuir.by/jour/article/view/567 |
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