PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE

PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE

Algorithms of video stabilization from unmanned aerial vehicle board and search of small size targets on the video sequence frames with the prediction are proposed. Proposed stabilization method provides a parametrization and localization time reduction to 5.2 times compared with the SURF method. Pr...

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Bibliographic Details
Main Author: I. A. Baryskievic
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
video
small size targets
search
stabilization
descriptor
predict
Online Access:https://doklady.bsuir.by/jour/article/view/638
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spelling doaj-1421168f6420439c815594f68575e8fd2021-07-28T16:19:48ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-0102107113637PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLEI. A. Baryskievic0Белорусский государственный университет информатики и радиоэлектроникиAlgorithms of video stabilization from unmanned aerial vehicle board and search of small size targets on the video sequence frames with the prediction are proposed. Proposed stabilization method provides a parametrization and localization time reduction to 5.2 times compared with the SURF method. Proposed search algorithm speeds up frame processing time approximately in 6.2 times in comparison with the standard covariance method.https://doklady.bsuir.by/jour/article/view/638videosmall size targetssearchstabilizationdescriptorpredict
collection DOAJ
language Russian
format Article
sources DOAJ
author I. A. Baryskievic
spellingShingle I. A. Baryskievic
PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
video
small size targets
search
stabilization
descriptor
predict
author_facet I. A. Baryskievic
author_sort I. A. Baryskievic
title PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE
title_short PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE
title_full PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE
title_fullStr PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE
title_full_unstemmed PREDICT OF THE SMALL SIZE OBJECT POSITION ON THE VIDEO STREAM FRAMES FROM THE BOARD OF UNMANNED AERIAL VEHICLE
title_sort predict of the small size object position on the video stream frames from the board of unmanned aerial vehicle
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn 1729-7648
publishDate 2019-06-01
description Algorithms of video stabilization from unmanned aerial vehicle board and search of small size targets on the video sequence frames with the prediction are proposed. Proposed stabilization method provides a parametrization and localization time reduction to 5.2 times compared with the SURF method. Proposed search algorithm speeds up frame processing time approximately in 6.2 times in comparison with the standard covariance method.
topic video
small size targets
search
stabilization
descriptor
predict
url https://doklady.bsuir.by/jour/article/view/638
work_keys_str_mv AT iabaryskievic predictofthesmallsizeobjectpositiononthevideostreamframesfromtheboardofunmannedaerialvehicle
_version_ 1721267916551225344

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