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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">zhps</journal-id><journal-title-group><journal-title xml:lang="ru">Журнал прикладной спектроскопии</journal-title><trans-title-group xml:lang="en"><trans-title>Zhurnal Prikladnoii Spektroskopii</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0514-7506</issn><publisher><publisher-name>B. I. Stepanov Institute of Physics of the National Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">zhps-206</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>ПРИМЕНЕНИЕ ИНТЕГРАЛЬНОГО ОПТИЧЕСКОГО ПОТОКА ДЛЯ ОПРЕДЕЛЕНИЯ ДВИЖЕНИЯ ТОЛПЫ ПО ВИДЕОИЗОБРАЖЕНИЯМ, ПОЛУЧЕННЫМ C ПОМОЩЬЮ СИСТЕМ ВИДЕОНАБЛЮДЕНИЯ</article-title><trans-title-group xml:lang="en"><trans-title>APPLICATION OF INTEGRAL OPTICAL FLOW FOR ANALYSIS OF CROWD MOVEMENT USING VIDEO SURVEILLANCE SYSTEMS</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>Chen</surname><given-names>H. .</given-names></name><name name-style="western" xml:lang="en"><surname>Chen</surname><given-names>H. .</given-names></name></name-alternatives><email xlink:type="simple">eric.hf.chen@outlook.com</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>Ye</surname><given-names>Sh. .</given-names></name><name name-style="western" xml:lang="en"><surname>Ye</surname><given-names>Sh. .</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>Недзьведь</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Nedzvedz</surname><given-names>O. V.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Абламейко</surname><given-names>С. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Ablameyko</surname><given-names>S. V.</given-names></name></name-alternatives><email xlink:type="simple">ablameyko@bsu.by</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Университет Шурен</institution></aff><aff xml:lang="en"><institution>Zhejiang Shuren University</institution></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Белорусский государственный медицинский университет</institution></aff><aff xml:lang="en"><institution>Belarusian State Medical University</institution></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Белорусский государственный университет; Объединенный институт проблем информатики НАН Беларуси</institution></aff><aff xml:lang="en"><institution>Belarusian State University; The United Institute of Informatics Problems, National Academy of Sciences of Belarus</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>10</day><month>03</month><year>2020</year></pub-date><volume>85</volume><issue>1</issue><fpage>135</fpage><lpage>143</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Chen H..., Ye S..., Недзьведь О.В., Абламейко С.В., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Chen H..., Ye S..., Недзьведь О.В., Абламейко С.В.</copyright-holder><copyright-holder xml:lang="en">Chen H..., Ye S..., Nedzvedz O.V., Ablameyko S.V.</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://zhps.ejournal.by/jour/article/view/206">https://zhps.ejournal.by/jour/article/view/206</self-uri><abstract><p>Изучение движения толпы является важной практической задачей, решение которой использовано в системах видеонаблюдения для предотвращения различных чрезвычайных ситуаций. В общем случае группа людей, движущихся с большой скоростью, представляет больший интерес, чем группа неподвижных или передвигающихся с низкой скоростью людей. Предлагается новый метода анализа движения толпы по видеопоследовательности, основанный на интегральном оптическом потоке. Определены несколько характеристик движущейся толпы, такие как плотность, скорость движения, направление движения, симметрия, индекс входа/выхода. Эти характеристики использованы для дальнейшего анализа видеосцены.</p></abstract><trans-abstract xml:lang="en"><p>Studying the crowd movement is an important practical task, the solution of which is used in video surveillance systems to prevent emergencies. Generally, a group of people moving at high speed is of more interest than motionless or slow moving people. In this paper, we propose a new method for analyzing the crowd movement based on integral optical flow in a video sequence. We define and calculate several properties of moving crowd including density, motion speed, motion direction and symmetry, in/out index. These properties are useful for further analysis of video scene. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>интегральный оптический поток</kwd><kwd>анализ движения</kwd><kwd>движение толпы</kwd><kwd>integral optical flow</kwd><kwd>movement analysis</kwd><kwd>crowd movement</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">J. C. S. I. Junior, S. R. Musse, C. R. Jung. IEEE Signal Proc. Magaz., 27, N 5 (2010) 66-77</mixed-citation><mixed-citation xml:lang="en">J. C. S. I. Junior, S. R. Musse, C. R. Jung. IEEE Signal Proc. Magaz., 27, N 5 (2010) 66-77</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">J. Shao, C. Loy, K. Kang, X. Wang. Proc. IEEE Conf. 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