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https://elib.bsu.by/handle/123456789/162412
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Ablameyko, Sergey V. | - |
dc.contributor.author | Brovko, N. | - |
dc.contributor.author | Bogush, R. | - |
dc.date.accessioned | 2016-12-07T13:57:22Z | - |
dc.date.available | 2016-12-07T13:57:22Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Journal of Computer Science and Cybernetics. - 2012. - V. 28, N. 3. - Pp. 195-205. | ru |
dc.identifier.issn | 1813-9663 | - |
dc.identifier.uri | http://elib.bsu.by/handle/123456789/162412 | - |
dc.description.abstract | An efficient smoke detection algorithm on color video sequences obtained from a stationary camera is proposed. Our algorithm considers dynamic and static features of smoke and composed of basic steps: preprocessing; slowly moving areas and pixels segmentation in a current input frame based on adaptive background subtraction; merge slowly moving areas with pixels into blobs; classification of the blobs obtained before. We use adaptive background subtraction at a stage of moving detection. Moving blobs classification is based on optical flow calculation, Weber contrast analysis and takes into account primary direction of smoke propagation. Real video surveillance sequences are used for smoke detection with utilization our algorithm. A set of experimental results are presented in the paper | ru |
dc.language.iso | en | ru |
dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика | ru |
dc.title | Smoke detection in video based on motion and contrast | ru |
dc.type | journal article | ru |
Располагается в коллекциях: | 2012 |
Полный текст документа:
Файл | Описание | Размер | Формат | |
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195-205_ 2012.pdf | 6,06 MB | Adobe PDF | Открыть |
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