{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:28:14Z","timestamp":1740122894063,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"39-40","license":[{"start":{"date-parts":[[2020,8,8]],"date-time":"2020-08-08T00:00:00Z","timestamp":1596844800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,8]],"date-time":"2020-08-08T00:00:00Z","timestamp":1596844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security","award":["MIMS18-03"],"award-info":[{"award-number":["MIMS18-03"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702059"],"award-info":[{"award-number":["61702059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Educational Grant of Chongqing University","award":["2016Y25"],"award-info":[{"award-number":["2016Y25"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s11042-020-09466-5","type":"journal-article","created":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T23:04:16Z","timestamp":1596841456000},"page":"29069-29085","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Flue gas layer feature segmentation based on multi-channel pixel adaptive"],"prefix":"10.1007","volume":"79","author":[{"given":"Yunfei","family":"Yin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,8]]},"reference":[{"issue":"11","key":"9466_CR1","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta R, Shaji A, Smith K (2012) SLIC Superpixels compared to state-of-the-art Superpixel methods. IEEE Trans Pattern Anal Mach Intell 34(11):2274\u20132281","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9466_CR2","doi-asserted-by":"crossref","unstructured":"A. I. Awad, M. Hassaballah, Image feature detectors and descriptors, in book: studies in computational intelligence, Springer International Publishing, 2016.","DOI":"10.1007\/978-3-319-28854-3"},{"key":"9466_CR3","doi-asserted-by":"crossref","unstructured":"Barnich O , Droogenbroeck M V. Droogenbroeck, \u201cViBe: a powerful random technique to estimate the background in video sequences. 2009.","DOI":"10.1109\/ICASSP.2009.4959741"},{"issue":"6","key":"9466_CR4","first-page":"670","volume":"33","author":"XF Cao","year":"2014","unstructured":"Cao XF, Mei ZS, Zhang X et al (2014) A real-time fire smoke recognition algorithm based on fuzzy features is proposed. Fire Sci Technol 33(6):670\u2013673","journal-title":"Fire Sci Technol"},{"key":"9466_CR5","unstructured":"Turgay \u00c7elik, H\u00fcseyin \u00d6zkaramanl\u0131, Demirel H. Fire and smoke detection without sensors: image processing based approach\/\/ European Signal Processing Conference. IEEE, 2015."},{"issue":"1","key":"9466_CR6","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/s11760-018-1326-5","volume":"13","author":"MH Ghaeminia","year":"2019","unstructured":"Ghaeminia MH, Shokouhi SB (2019) On the selection of spatiotemporal filtering with classifier ensemble method for effective gait recognition, signal. Image Video Process 13(1):43\u201351","journal-title":"Image Video Process"},{"key":"9466_CR7","unstructured":"JianDong Han, YiFan Deng. Multi-channel pedestrian detection algorithm combining texture and contour features ). J Comput Appl, 2017(10)."},{"key":"9466_CR8","doi-asserted-by":"crossref","unstructured":"Hofmann M , Tiefenbacher P , Rigoll G. Background segmentation with feedback: the pixel-based adaptive Segmenter\/\/ 2012 IEEE computer society conference on computer vision and pattern recognition workshops. IEEE, 2012.","DOI":"10.1109\/CVPRW.2012.6238925"},{"key":"9466_CR9","unstructured":"Yan Hu, Hui Qing Wang, Tai Wei Yao, et al. Video fire smoke recognition based on block segmentation and SVM. Comput Simulat, 2012, 29(9):170\u2013173."},{"issue":"21","key":"9466_CR10","first-page":"180","volume":"50","author":"Y Hu","year":"2014","unstructured":"Hu Y, Wang HQ, Yao TW et al (2014) Fire smoke identification based on Harris feature point detection and tracking. Computer Engineering and Applications. Comput Eng Appl 50(21):180\u2013183","journal-title":"Comput Eng Appl"},{"issue":"5","key":"9466_CR11","doi-asserted-by":"publisher","first-page":"1271","DOI":"10.1007\/s10694-014-0453-y","volume":"52","author":"Y Jia","year":"2016","unstructured":"Jia Y, Yuan J, Wang J, Fang J, Zhang Q, Zhang Y (2016) A saliency-based method for early smoke detection in video sequences. Fire Technol 52(5):1271\u20131292","journal-title":"Fire Technol"},{"key":"9466_CR12","unstructured":"Sun Li, Yong-Sheng S, Bo W, et al. Video Smoke Detection Based on Color Transformation and MSER. Transactions of Beijing Institute of Technology, 2016."},{"issue":"4","key":"9466_CR13","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1016\/S0379-7112(00)00010-2","volume":"34","author":"O Megret","year":"2000","unstructured":"Megret O, Vauquelin O (2000) A model to evaluate tunnel fire characteristics. Fire Saf J 34(4):393\u2013401","journal-title":"Fire Saf J"},{"key":"9466_CR14","doi-asserted-by":"crossref","unstructured":"K. Muhammad, S. Kan, S.W. Baik, Efficient Convolutional Networks for Fire Detection in Surveillance Applications, In book: Deep Learning in Computer Vision (Edited By Mahmoud Hassaballah, Ali Ismail Awad), pp.63\u201388, 2020.","DOI":"10.1201\/9781351003827-3"},{"issue":"2","key":"9466_CR15","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1109\/TII.2019.2915592","volume":"16","author":"K Muhammad","year":"2020","unstructured":"Muhammad K, Khan S, Palade V (2020) Edge intelligence-assisted smoke detection in foggy surveillance environments. IEEE Trans Ind Informat 16(2):1067\u20131075","journal-title":"IEEE Trans Ind Informat"},{"key":"9466_CR16","doi-asserted-by":"crossref","unstructured":"Ojala T , Pietikainen M , Harwood D . Performance evaluation of texture measures with classification based on Kullback discrimination of distributions\/\/ Pattern Recognition, 1994. Vol. 1 - conference a: Computer Vision & Image Processing. Proceedings of the 12th IAPR international conference on. IEEE.","DOI":"10.1109\/ICPR.1994.576366"},{"issue":"4","key":"9466_CR17","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1007\/s11760-018-1401-y","volume":"13","author":"G Palanisamy","year":"2019","unstructured":"Palanisamy G, Ponnusamy P, Gopi VP (2019) An improved luminosity and contrast enhancement framework for feature preservation in color fundus images, signal. Image Video Process 13(4):719\u2013726","journal-title":"Image Video Process"},{"issue":"1","key":"9466_CR18","first-page":"52","volume":"29","author":"ZF Pan","year":"2015","unstructured":"Pan ZF, Yang SS, Chen N (2015) Fire smoke recognition based on image entropy. J Jiangsu Univ Sci Technol(Natural Science Edition) 29(1):52\u201357","journal-title":"J Jiangsu Univ Sci Technol(Natural Science Edition)"},{"issue":"5","key":"9466_CR19","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1007\/s10694-015-0489-7","volume":"52","author":"WS Qureshi","year":"2016","unstructured":"Qureshi WS, Ekpanyapong M, Dailey MN, Rinsurongkawong S, Malenichev A, Krasotkina O (2016) QuickBlaze: early fire detection using a combined video processing approach. Fire Technol 52(5):1293\u20131317","journal-title":"Fire Technol"},{"key":"9466_CR20","first-page":"1059","volume":"22-25","author":"E Salahat","year":"2017","unstructured":"Salahat E, Qasaimeh M (2017) Recent advances in features extraction and description algorithms: a comprehensive survey, IEEE international conference on industrial technology (ICIT), Toronto, Canada. MAR 22-25:1059\u20131063","journal-title":"MAR"},{"key":"9466_CR21","unstructured":"B Uur T\u00f6reyin, Dedeolu Y, Enis A, et al. Wavelet based real-time smoke detection in video\/\/ European Signal Processing Conference. IEEE, 2005."},{"issue":"23","key":"9466_CR22","first-page":"186","volume":"37","author":"T Wang","year":"2011","unstructured":"Wang T, Liu Y, Xie ZP (2011) Video smoke detection based on adaptive neural fuzzy reasoning system. Comput Eng 37(23):186\u2013188","journal-title":"Comput Eng"},{"key":"9466_CR23","volume-title":"Research on smoke detection algorithm based on video image feature extraction","author":"ZB Wen","year":"2016","unstructured":"Wen ZB (2016) Research on smoke detection algorithm based on video image feature extraction,\u201d Master dissertation. University of Science and Technology of China, Hefei"},{"key":"9466_CR24","doi-asserted-by":"crossref","unstructured":"Wojek C , Dollar P, Schiele B, et al. Pedestrian Detection: An Evaluation of the State of the Art. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2012.","DOI":"10.1109\/TPAMI.2011.155"},{"issue":"3","key":"9466_CR25","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.firesaf.2011.01.001","volume":"46","author":"F Yuan","year":"2011","unstructured":"Yuan F (2011) Video-based smoke detection with histogram sequence of lbp and lbpv pyramids. Fire Saf J 46(3):132\u2013139","journal-title":"Fire Saf J"},{"key":"9466_CR26","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.ins.2016.08.040","volume":"372","author":"F Yuan","year":"2016","unstructured":"Yuan F, Shi J, Xia X, Fang Y, Fang Z, Mei T (2016) High-order local ternary patterns with locality preserving projection for smoke detection and image classification. Inf Sci 372:225\u2013240","journal-title":"Inf Sci"},{"key":"9466_CR27","doi-asserted-by":"publisher","first-page":"2301","DOI":"10.1109\/TIP.2019.2946126","volume":"29","author":"FN Yuan","year":"2020","unstructured":"Yuan FN, Zhang L, Xia X et al (2020) A wave-shaped deep neural network for smoke density estimation. IEEE Trans Image Process 29:2301\u20132313","journal-title":"IEEE Trans Image Process"},{"issue":"9","key":"9466_CR28","first-page":"111","volume":"38","author":"BL Zhou","year":"2016","unstructured":"Zhou BL, Song YL, MengHong Y (2016) Research on smoke detection technology of ship fire based on image processing. Ship Sci Technol 38(9):111\u2013115","journal-title":"Ship Sci Technol"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09466-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-09466-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09466-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T13:52:20Z","timestamp":1723384340000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-09466-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,8]]},"references-count":28,"journal-issue":{"issue":"39-40","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["9466"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09466-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2020,8,8]]},"assertion":[{"value":"17 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}