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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">bsuir</journal-id><journal-title-group><journal-title xml:lang="ru">Доклады БГУИР</journal-title><trans-title-group xml:lang="en"><trans-title>Doklady BGUIR</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1729-7648</issn><issn pub-type="epub">2708-0382</issn><publisher><publisher-name>БГУИР</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">bsuir-553</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>АЛГОРИТМ КОМПЛЕКСНОГО ОБНАРУЖЕНИЯ ДЫМА И ПЛАМЕНИ НА ОСНОВЕ АНАЛИЗА ДАННЫХ СИСТЕМ ВИДЕОНАБЛЮДЕНИЯ</article-title><trans-title-group xml:lang="en"><trans-title>ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Богуш</surname><given-names>Р. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Bohush</surname><given-names>R. P.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тычко</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Tychko</surname><given-names>D. A.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Полоцкий государственный университет</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>03</day><month>06</month><year>2019</year></pub-date><volume>0</volume><issue>6</issue><fpage>65</fpage><lpage>71</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Богуш Р.П., Тычко Д.А., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Богуш Р.П., Тычко Д.А.</copyright-holder><copyright-holder xml:lang="en">Bohush R.P., Tychko D.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://doklady.bsuir.by/jour/article/view/553">https://doklady.bsuir.by/jour/article/view/553</self-uri><abstract><p>Предлагается алгоритм обнаружения основных признаков пожара для систем видеонаблюдения, который позволяет детектировать дым, открытое пламя и их совокупность на динамических изображениях. Отличительной особенностью алгоритма является использование оценки движения, как общего признака, а также применение алгоритмом единых подходов при обнаружении других признаков дыма и пламени. Представлены результаты экспериментальных исследований.</p></abstract><trans-abstract xml:lang="en"><p>An algorithm to detect the main signs of fire for video surveillance systems, which allows the detection of smoke, open flames, and their combination on dynamic images is proposed. A distinctive feature of the algorithm is the use of motion estimation, as a common feature, as well as the application of the algorithm of common approaches in the processing of video sequences. A set of experimental results are presented in the paper.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>анализ движения</kwd><kwd>цветовая сегментация</kwd><kwd>вейвлет-преобразование</kwd><kwd>контурный анализ</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Phillips III W., Shan M., Lobo N. // Pattern Recognition Letter. 2002. Vol. 23. № 1-3. P. 319-327.</mixed-citation><mixed-citation xml:lang="en">Phillips III W., Shan M., Lobo N. // Pattern Recognition Letter. 2002. Vol. 23. № 1-3. P. 319-327.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Gomez-Rodriguez F., Pascual-Pena S., Arrue В. C. et. al. // Proceedings of the 4th International Conference on Forest Fire Research &amp; Wildland Fire Safety. Coimbra, 18-23 November 2002. 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