{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T15:32:13Z","timestamp":1760369533948,"version":"3.37.3"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T00:00:00Z","timestamp":1565308800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T00:00:00Z","timestamp":1565308800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61871123"],"award-info":[{"award-number":["No.61871123"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program in Jiangsu Province","award":["No.BE2016739"],"award-info":[{"award-number":["No.BE2016739"]}]},{"name":"Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions","award":["\/"],"award-info":[{"award-number":["\/"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1007\/s11042-019-08047-5","type":"journal-article","created":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T16:03:46Z","timestamp":1565366626000},"page":"69-88","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A motion and lightness saliency approach for forest smoke segmentation and detection"],"prefix":"10.1007","volume":"79","author":[{"given":"Xuehui","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7707-7538","authenticated-orcid":false,"given":"Xiaobo","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Henry","family":"Leung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,9]]},"reference":[{"key":"8047_CR1","doi-asserted-by":"crossref","unstructured":"Barnich O, Van Droogenbroeck M (2009) Vibe: a powerful random technique to estimate the background in video sequences. In: ICASSP 2009. IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, pp 945\u2013948","DOI":"10.1109\/ICASSP.2009.4959741"},{"issue":"6","key":"8047_CR2","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1109\/TIP.2010.2101613","volume":"20","author":"O Barnich","year":"2011","unstructured":"Barnich O, Van Droogenbroeck M (2011) Vibe: a universal background subtraction algorithm for video sequences. IEEE Trans Image Process 20(6):1709\u20131724","journal-title":"IEEE Trans Image Process"},{"key":"8047_CR3","unstructured":"Bengio S, Pereira F, Singer Y, Strelow D (2009) Group sparse coding. In: Advances in Neural Information Processing Systems, pp 82\u201389"},{"key":"8047_CR4","doi-asserted-by":"crossref","unstructured":"Cai M, Lu X, Wu X, Feng Y (2016) Intelligent video analysis-based forest fires smoke detection algorithms. In: 2016 12th international conference on natural computation, fuzzy systems and knowledge discovery (ICNC-FSKD), IEEE, pp 1504\u20131508","DOI":"10.1109\/FSKD.2016.7603399"},{"issue":"4","key":"8047_CR5","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1007\/s00138-010-0272-1","volume":"22","author":"S Calderara","year":"2011","unstructured":"Calderara S, Piccinini P, Cucchiara R (2011) Vision based smoke detection system using image energy and color information. Mach Vis Appl 22(4):705\u2013719","journal-title":"Mach Vis Appl"},{"issue":"6","key":"8047_CR6","doi-asserted-by":"publisher","first-page":"1827","DOI":"10.1016\/j.dsp.2013.07.003","volume":"23","author":"AE \u00c7etin","year":"2013","unstructured":"\u00c7etin AE, Dimitropoulos K, Gouverneur B, Grammalidis N, G\u00fcnay O, Habibolu YH, T\u00f6reyin BU, Verstockt S (2013) Video fire detection\u2013review. Digital Signal Process 23(6):1827\u20131843","journal-title":"Digital Signal Process"},{"key":"8047_CR7","doi-asserted-by":"crossref","unstructured":"Chen TH, Kao CL, Chang SM (2003) An intelligent real-time fire-detection method based on video processing. In: Proceedings. IEEE 37th Annual 2003 International Carnahan Conference on Security Technology, 2003, IEEE, pp 104\u2013111","DOI":"10.1109\/CCST.2003.1297544"},{"key":"8047_CR8","doi-asserted-by":"crossref","unstructured":"Chen TH, Yin YH, Huang SF, Ye YT (2006) The smoke detection for early fire-alarming system base on video processing. In: IIH-MSP\u201906. International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2006, IEEE, pp 427\u2013430","DOI":"10.1109\/IIH-MSP.2006.265033"},{"issue":"3","key":"8047_CR9","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1007\/s10694-009-0110-z","volume":"46","author":"Y Chunyu","year":"2010","unstructured":"Chunyu Y, Jun F, Jinjun W, Yongming Z (2010) Video fire smoke detection using motion and color features. Fire Technol 46(3):651\u2013663","journal-title":"Fire Technol"},{"key":"8047_CR10","doi-asserted-by":"crossref","unstructured":"Cui X, Liu Q, Metaxas D (2009) Temporal spectral residual: fast motion saliency detection. In: Proceedings of the 17th ACM International Conference on Multimedia, ACM, pp 617\u2013620","DOI":"10.1145\/1631272.1631370"},{"issue":"5","key":"8047_CR11","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1109\/TCSVT.2016.2527340","volume":"27","author":"K Dimitropoulos","year":"2017","unstructured":"Dimitropoulos K, Barmpoutis P, Grammalidis N (2017) Higher order linear dynamical systems for smoke detection in video surveillance applications. IEEE Trans Circuits Syst Video Technol 27(5):1143\u20131154","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"8047_CR12","doi-asserted-by":"crossref","unstructured":"Evangelio RH, Ptzold M, Sikora T (2012) Splitting gaussians in mixture models. In: 2012 IEEE Ninth international conference on advanced video and signal-based surveillance, pp 300\u2013305","DOI":"10.1109\/AVSS.2012.69"},{"issue":"1","key":"8047_CR13","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/TCSVT.2013.2273613","volume":"24","author":"Y Fang","year":"2014","unstructured":"Fang Y, Lin W, Chen Z, Tsai CM, Lin CW (2014) A video saliency detection model in compressed domain. IEEE Trans Circuits Syst Video Technol 24 (1):27\u201338","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"8047_CR14","doi-asserted-by":"crossref","unstructured":"Ganesh A, Wright J, Li X, Cands EJ, Ma Y (2010) Dense error correction for low-rank matrices via principal component pursuit. In: 2010 IEEE International symposium on information theory, pp 1513\u20131517","DOI":"10.1109\/ISIT.2010.5513538"},{"key":"8047_CR15","doi-asserted-by":"crossref","unstructured":"Gao Z, Cheong LF, Shan M (2012) Block-sparse rpca for consistent foreground detection. In: European Conference on Computer Vision, Springer, pp 690\u2013703","DOI":"10.1007\/978-3-642-33715-4_50"},{"issue":"10","key":"8047_CR16","doi-asserted-by":"publisher","first-page":"1975","DOI":"10.1109\/TPAMI.2014.2314663","volume":"36","author":"Z Gao","year":"2014","unstructured":"Gao Z, Cheong LF, Wang YX (2014) Block-sparse rpca for salient motion detection. IEEE Trans Pattern Anal Mach Intell 36(10):1975\u20131987","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"8047_CR17","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1109\/TCSVT.2011.2177177","volume":"22","author":"V Gopalakrishnan","year":"2012","unstructured":"Gopalakrishnan V, Rajan D, Hu Y (2012) A linear dynamical system framework for salient motion detection. IEEE Trans Circuits Syst Video Technol 22(5):683\u2013692","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"4","key":"8047_CR18","doi-asserted-by":"publisher","first-page":"670","DOI":"10.1109\/TPAMI.2013.239","volume":"36","author":"TSF Haines","year":"2014","unstructured":"Haines TSF, Xiang T (2014) Background subtraction with dirichletprocess mixture models. IEEE Trans Pattern Anal Mach Intell 36(4):670\u2013683","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"8047_CR19","doi-asserted-by":"crossref","unstructured":"Ham S, Ko BC, Nam JY (2011) Vision based forest smoke detection using analyzing of temporal patterns of smoke and their probability models. In: Image Processing: Machine Vision Applications IV, vol 7877, International Society for Optics and Photonics, p 78770A","DOI":"10.1117\/12.871995"},{"issue":"8","key":"8047_CR20","doi-asserted-by":"publisher","first-page":"1336","DOI":"10.1109\/TCSVT.2014.2308652","volume":"24","author":"CR Huang","year":"2014","unstructured":"Huang CR, Chang YJ, Yang ZX, Lin YY (2014) Video saliency map detection by dominant camera motion removal. IEEE Trans Circuits Syst Video Technol 24(8):1336\u20131349","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"5","key":"8047_CR21","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"},{"issue":"4","key":"8047_CR22","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TCSVT.2013.2290579","volume":"24","author":"W Kim","year":"2014","unstructured":"Kim W, Kim C (2014) Spatiotemporal saliency detection using textural contrast and its applications. IEEE Trans Circuits Syst Video Technol 24(4):646\u2013659","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"4","key":"8047_CR23","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.firesaf.2010.04.001","volume":"45","author":"B Ko","year":"2010","unstructured":"Ko B, Cheong KH, Nam JY (2010) Early fire detection algorithm based on irregular patterns of flames and hierarchical bayesian networks. Fire Saf J 45(4):262\u2013270","journal-title":"Fire Saf J"},{"key":"8047_CR24","unstructured":"Lin Z, Chen M, Ma Y (2010) The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices. arXiv: 1009.5055"},{"issue":"8","key":"8047_CR25","doi-asserted-by":"publisher","first-page":"2502","DOI":"10.1109\/TIP.2015.2419084","volume":"24","author":"X Liu","year":"2015","unstructured":"Liu X, Zhao G, Yao J, Qi C (2015) Background subtraction based on low-rank and structured sparse decomposition. IEEE Trans Image Process 24(8):2502\u20132514","journal-title":"IEEE Trans Image Process"},{"key":"8047_CR26","doi-asserted-by":"crossref","unstructured":"Long C, Zhao J, Han S, Xiong L, Yuan Z, Huang J, Gao W (2010) Transmission: a new feature for computer vision based smoke detection. In: International Conference on Artificial Intelligence and Computational Intelligence, Springer, pp 389\u2013396","DOI":"10.1007\/978-3-642-16530-6_46"},{"key":"8047_CR27","unstructured":"Mairal J, Jenatton R, Bach FR, Obozinski GR (2010) Network flow algorithms for structured sparsity. In: Advances in Neural Information Processing Systems, pp 1558\u20131566"},{"key":"8047_CR28","doi-asserted-by":"crossref","unstructured":"Park J, Ko B, Nam JY, Kwak S (2013) Wildfire smoke detection using spatiotemporal bag-of-features of smoke. In: 2013 IEEE Workshop on Applications of Computer Vision (WACV), IEEE, pp 200\u2013205","DOI":"10.1109\/WACV.2013.6475019"},{"key":"8047_CR29","doi-asserted-by":"crossref","unstructured":"Shu X, Porikli F, Ahuja N (2014) Robust orthonormal subspace learning: Efficient recovery of corrupted low-rank matrices. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3874\u20133881","DOI":"10.1109\/CVPR.2014.495"},{"issue":"3","key":"8047_CR30","doi-asserted-by":"publisher","first-page":"1164","DOI":"10.1109\/TIP.2017.2771499","volume":"27","author":"H Tian","year":"2018","unstructured":"Tian H, Li W, Ogunbona PO, Wang L (2018) Detection and separation of smoke from single image frames. IEEE Trans Image Process 27(3):1164\u20131177","journal-title":"IEEE Trans Image Process"},{"key":"8047_CR31","doi-asserted-by":"crossref","unstructured":"Tian H, Li W, Wang L, Ogunbona P (2012) A novel video-based smoke detection method using image separation. In: 2012 IEEE International Conference on Multimedia and Expo (icme), IEEE, pp 532\u2013537","DOI":"10.1109\/ICME.2012.72"},{"issue":"2","key":"8047_CR32","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1007\/s11263-013-0656-6","volume":"106","author":"H Tian","year":"2014","unstructured":"Tian H, Li W, Wang L, Ogunbona P (2014) Smoke detection in video: an image separation approach. Int J Comput Vis 106(2):192\u2013209","journal-title":"Int J Comput Vis"},{"key":"8047_CR33","doi-asserted-by":"crossref","unstructured":"Toreyin BU, Dedeoglu Y, Cetin AE (2005) Flame detection in video using hidden markov models. In: ICIP 2005. IEEE International Conference on Image Processing, 2005, vol 2, IEEE, pp II\u20131230","DOI":"10.1109\/ICIP.2005.1530284"},{"key":"8047_CR34","unstructured":"T\u00f6reyin B U, Dedeo\u0121lu Y, Cetin AE (2005) Wavelet based real-time smoke detection in video. In: Signal Processing Conference, 2005 13th European, IEEE, pp 1\u20134"},{"key":"8047_CR35","unstructured":"Toreyin BU, Dedeoglu Y, Cetin AE (2006) Contour based smoke detection in video using wavelets. In: Signal Processing Conference, 2006 14th European, IEEE, pp 1\u20135"},{"key":"8047_CR36","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1007\/978-3-642-33786-4_10","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Naiyan Wang","year":"2012","unstructured":"Wang N, Yao T, Wang J, Yeung DY (2012) A probabilistic approach to robust matrix factorization. In: ECCV\u201912 Proceedings of the 12th European conference on Computer Vision - Volume Part VII, pp 126\u2013139"},{"issue":"4","key":"8047_CR37","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1007\/s10694-012-0321-6","volume":"50","author":"S Wang","year":"2014","unstructured":"Wang S, He Y, Zou J, Duan B, Wang J (2014) A flame detection synthesis algorithm. Fire Technol 50(4):959\u2013975","journal-title":"Fire Technol"},{"key":"8047_CR38","unstructured":"Xiong Z, Caballero R, Wang H, Finn AM, Lelic MA, Peng PY (2007) Video-based smoke detection: possibilities, techniques, and challenges. In: IFPA, Fire Suppression and Detection Research and Applications\u2014A Technical Working Conference (SUPDET), Orlando, FL"},{"key":"8047_CR39","doi-asserted-by":"crossref","unstructured":"Xue Y, Guo X, Cao X (2012) Motion saliency detection using low-rank and sparse decomposition. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, pp 1485\u20131488","DOI":"10.1109\/ICASSP.2012.6288171"},{"key":"8047_CR40","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.firesaf.2015.03.001","volume":"73","author":"W Ye","year":"2015","unstructured":"Ye W, Zhao J, Wang S, Wang Y, Zhang D, Yuan Z (2015) Dynamic texture based smoke detection using surfacelet transform and hmt model. Fire Saf J 73:91\u2013101","journal-title":"Fire Saf J"},{"key":"8047_CR41","unstructured":"Yi X, Park D, Chen Y, Caramanis C (2016) Fast algorithms for robust pca via gradient descent. Neural Information Processing Systems pp 4152\u20134160"},{"issue":"7","key":"8047_CR42","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1016\/j.patrec.2008.01.013","volume":"29","author":"F Yuan","year":"2008","unstructured":"Yuan F (2008) A fast accumulative motion orientation model based on integral image for video smoke detection. Pattern Recogn Lett 29(7):925\u2013932","journal-title":"Pattern Recogn Lett"},{"issue":"12","key":"8047_CR43","doi-asserted-by":"publisher","first-page":"4326","DOI":"10.1016\/j.patcog.2012.06.008","volume":"45","author":"F Yuan","year":"2012","unstructured":"Yuan F (2012) A double mapping framework for extraction of shape-invariant features based on multi-scale partitions with adaboost for video smoke detection. Pattern Recogn 45(12):4326\u20134336","journal-title":"Pattern Recogn"},{"issue":"3","key":"8047_CR44","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1007\/s10694-012-0253-1","volume":"50","author":"Z Zhang","year":"2014","unstructured":"Zhang Z, Shen T, Zou J (2014) An improved probabilistic approach for fire detection in videos. Fire Technol 50(3):745\u2013752","journal-title":"Fire Technol"},{"key":"8047_CR45","first-page":"40","volume":"2015","author":"Y Zhao","year":"2015","unstructured":"Zhao Y, Zhou Z, Xu M (2015) Forest fire smoke video detection using spatiotemporal and dynamic texture features. Can J Electr Comput Eng 2015:40","journal-title":"Can J Electr Comput Eng"},{"key":"8047_CR46","unstructured":"Zhou T, Tao D (2013) Shifted subspaces tracking on sparse outlier for motion segmentation. In: IJCAI \u201913 Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, pp 1946\u20131952"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-08047-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-08047-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-08047-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T23:54:28Z","timestamp":1695081268000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-08047-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,9]]},"references-count":46,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["8047"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-08047-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2019,8,9]]},"assertion":[{"value":"26 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}