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Firstly, an algorithm identifying cone geometry feature is used to distinguish conical region from dynamic regions. Secondly, conical regions are filtered by a color filtering algorithm to further test the candidate smoke region. Finally, a texture filtering algorithm is used to differentiate true smoke from candidate smoke regions. Experiments show that the proposed method is effective and it results in earlier and more reliable detection than the other two methods reported in the literature. The processing rate of the smoke detection method achieves 25 frames per second with an image size of 320\u00d7240 pixels.<\/jats:p>","DOI":"10.3233\/jifs-161605","type":"journal-article","created":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T11:49:49Z","timestamp":1498218589000},"page":"305-313","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":26,"title":["Video smoke detection using shape, color\u00a0and dynamic features"],"prefix":"10.1177","volume":"33","author":[{"given":"Shidong","family":"Wang","sequence":"first","affiliation":[{"name":"Information Network Center, Anhui Jianzhu University, Hefei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaping","family":"He","sequence":"additional","affiliation":[{"name":"School of Computing Engineering and Mathematics, Western Sydney University, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengyu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, PR China"},{"name":"Anhui Institute of Scientific and Technical Information, Hefei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kunxia","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,7]]},"reference":[{"key":"e_1_3_2_2_2","article-title":"Video-based smoke detection","author":"Xiong Z.","year":"2007","unstructured":"XiongZ., CaballeroR., WangH., FinnA., LelicM.A. and PengP., Video-based smoke detection, Possibilities, Techniques and Challenges, Fire Suppression and Detection Research and Applications-A Technical Working Conference, 2007.","journal-title":"Possibilities, Techniques and Challenges, Fire Suppression and Detection Research and Applications-A Technical Working Conference"},{"key":"e_1_3_2_3_2","first-page":"255","article-title":"Wavelet based realtime smoke detection in video","author":"Toreyin B.U.","year":"2005","unstructured":"ToreyinB.U., DedeogluY. and CetinA.E., Wavelet based realtime smoke detection in video, Proceedings of the European Signal Processing Conference, 2005, pp. 255\u2013260.","journal-title":"Proceedings of the European Signal Processing Conference"},{"key":"e_1_3_2_4_2","article-title":"Contour based smoke detection in video using wavelets","author":"Toreyin B.U.","year":"2006","unstructured":"ToreyinB.U., DedeogluY. and CetinA.E., Contour based smoke detection in video using wavelets, Proceedings of the European Signal Processing Conference, 2006.","journal-title":"Proceedings of the European Signal Processing Conference"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.01.013"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2011.03.003"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-120735"},{"key":"e_1_3_2_8_2","unstructured":"JiaY. 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