Calculation of precipitation intensity using processing the sequence of video frames

The article describes the method for automatic precipitation detection and its intensity estimation from a sequence of video frames. The convolution operation used for filtration is optimized in order to decrease computational complexity. The accuracy of precipitation intensity estimation is improve...

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Main Authors: Garmash Vitaliy, Zhdanov Alexander, Korobochkin Dmitriy, Petrov Yuriy, Yarigin Dmitriy
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_12018.pdf
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spelling doaj-dddccb5a68e24cd59161df47f3295c3b2021-02-02T05:08:02ZengEDP SciencesITM Web of Conferences2271-20972019-01-01301201810.1051/itmconf/20193012018itmconf_crimico2019_12018Calculation of precipitation intensity using processing the sequence of video framesGarmash Vitaliy0Zhdanov Alexander1Korobochkin Dmitriy2Petrov Yuriy3Yarigin Dmitriy4ZaslonBaltic state technical university "VOENMEH"CitymapBaltic state technical university "VOENMEH"Baltic state technical university "VOENMEH"The article describes the method for automatic precipitation detection and its intensity estimation from a sequence of video frames. The convolution operation used for filtration is optimized in order to decrease computational complexity. The accuracy of precipitation intensity estimation is improved by accounting for cross-correlation between sequential video frames. The proposed method has reduced computational complexity. The results of the study are demonstrated on a few images of different size. The computational complexity of proposed algorithm is appropriate for real-time implementation.https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_12018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Garmash Vitaliy
Zhdanov Alexander
Korobochkin Dmitriy
Petrov Yuriy
Yarigin Dmitriy
spellingShingle Garmash Vitaliy
Zhdanov Alexander
Korobochkin Dmitriy
Petrov Yuriy
Yarigin Dmitriy
Calculation of precipitation intensity using processing the sequence of video frames
ITM Web of Conferences
author_facet Garmash Vitaliy
Zhdanov Alexander
Korobochkin Dmitriy
Petrov Yuriy
Yarigin Dmitriy
author_sort Garmash Vitaliy
title Calculation of precipitation intensity using processing the sequence of video frames
title_short Calculation of precipitation intensity using processing the sequence of video frames
title_full Calculation of precipitation intensity using processing the sequence of video frames
title_fullStr Calculation of precipitation intensity using processing the sequence of video frames
title_full_unstemmed Calculation of precipitation intensity using processing the sequence of video frames
title_sort calculation of precipitation intensity using processing the sequence of video frames
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2019-01-01
description The article describes the method for automatic precipitation detection and its intensity estimation from a sequence of video frames. The convolution operation used for filtration is optimized in order to decrease computational complexity. The accuracy of precipitation intensity estimation is improved by accounting for cross-correlation between sequential video frames. The proposed method has reduced computational complexity. The results of the study are demonstrated on a few images of different size. The computational complexity of proposed algorithm is appropriate for real-time implementation.
url https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_12018.pdf
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AT korobochkindmitriy calculationofprecipitationintensityusingprocessingthesequenceofvideoframes
AT petrovyuriy calculationofprecipitationintensityusingprocessingthesequenceofvideoframes
AT yarigindmitriy calculationofprecipitationintensityusingprocessingthesequenceofvideoframes
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