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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EDP Sciences
2019-01-01
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Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_12018.pdf |
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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 |
work_keys_str_mv |
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1724304352786513920 |