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Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems

The automatic observation of the night sky through wide-angle video systems with the aim of detecting meteor and fireballs is currently among routine astronomical observations. The observation is usually done in multi-station or network mode, so it is possible to estimate the direction and the speed...

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Detalles Bibliográficos
Autores principales: Vítek, Stanislav, Nasyrova, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795369/
https://www.ncbi.nlm.nih.gov/pubmed/29286294
http://dx.doi.org/10.3390/s18010077
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author Vítek, Stanislav
Nasyrova, Maria
author_facet Vítek, Stanislav
Nasyrova, Maria
author_sort Vítek, Stanislav
collection PubMed
description The automatic observation of the night sky through wide-angle video systems with the aim of detecting meteor and fireballs is currently among routine astronomical observations. The observation is usually done in multi-station or network mode, so it is possible to estimate the direction and the speed of the body flight. The high velocity of the meteorite flying through the atmosphere determines the important features of the camera systems, namely the high frame rate. Thanks to high frame rates, such imaging systems produce a large amount of data, of which only a small fragment has scientific potential. This paper focuses on methods for the real-time detection of fast moving objects in the video sequences recorded by intensified TV systems with frame rates of about 60 frames per second. The goal of our effort is to remove all unnecessary data during the daytime and make free hard-drive capacity for the next observation. The processing of data from the MAIA (Meteor Automatic Imager and Analyzer) system is demonstrated in the paper.
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spelling pubmed-57953692018-02-13 Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems Vítek, Stanislav Nasyrova, Maria Sensors (Basel) Article The automatic observation of the night sky through wide-angle video systems with the aim of detecting meteor and fireballs is currently among routine astronomical observations. The observation is usually done in multi-station or network mode, so it is possible to estimate the direction and the speed of the body flight. The high velocity of the meteorite flying through the atmosphere determines the important features of the camera systems, namely the high frame rate. Thanks to high frame rates, such imaging systems produce a large amount of data, of which only a small fragment has scientific potential. This paper focuses on methods for the real-time detection of fast moving objects in the video sequences recorded by intensified TV systems with frame rates of about 60 frames per second. The goal of our effort is to remove all unnecessary data during the daytime and make free hard-drive capacity for the next observation. The processing of data from the MAIA (Meteor Automatic Imager and Analyzer) system is demonstrated in the paper. MDPI 2017-12-29 /pmc/articles/PMC5795369/ /pubmed/29286294 http://dx.doi.org/10.3390/s18010077 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vítek, Stanislav
Nasyrova, Maria
Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems
title Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems
title_full Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems
title_fullStr Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems
title_full_unstemmed Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems
title_short Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems
title_sort real-time detection of sporadic meteors in the intensified tv imaging systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795369/
https://www.ncbi.nlm.nih.gov/pubmed/29286294
http://dx.doi.org/10.3390/s18010077
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