{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:32:29Z","timestamp":1792787549825,"version":"4.5.0"},"reference-count":32,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T00:00:00Z","timestamp":1641340800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["E2019202338"],"award-info":[{"award-number":["E2019202338"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["20311803D"],"award-info":[{"award-number":["20311803D"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["U20A20201"],"award-info":[{"award-number":["U20A20201"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["2019YFB1312102"],"award-info":[{"award-number":["2019YFB1312102"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key R&D Program of Hebei Province","award":["E2019202338"],"award-info":[{"award-number":["E2019202338"]}]},{"name":"Key R&D Program of Hebei Province","award":["20311803D"],"award-info":[{"award-number":["20311803D"]}]},{"name":"Key R&D Program of Hebei Province","award":["U20A20201"],"award-info":[{"award-number":["U20A20201"]}]},{"name":"Key R&D Program of Hebei Province","award":["2019YFB1312102"],"award-info":[{"award-number":["2019YFB1312102"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["E2019202338"],"award-info":[{"award-number":["E2019202338"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["20311803D"],"award-info":[{"award-number":["20311803D"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20A20201"],"award-info":[{"award-number":["U20A20201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2019YFB1312102"],"award-info":[{"award-number":["2019YFB1312102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["E2019202338"],"award-info":[{"award-number":["E2019202338"]}]},{"name":"National Key R&D Program of China","award":["20311803D"],"award-info":[{"award-number":["20311803D"]}]},{"name":"National Key R&D Program of China","award":["U20A20201"],"award-info":[{"award-number":["U20A20201"]}]},{"name":"National Key R&D Program of China","award":["2019YFB1312102"],"award-info":[{"award-number":["2019YFB1312102"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2022,1,5]]},"abstract":"<jats:p>As the most common serious disaster, fire may cause a lot of damages. Early detection and treatment of fires are of great significance to ensure public safety and to reduce losses caused by fires. However, traditional fire detectors are facing some focus issues such as low sensitivity and limited detection scenes. To overcome these problems, a video fire detection hybrid method based on random forest (RF) feature selection and back propagation (BP) neural network is proposed. The improved flame color model in RGB and HSI space and the visual background extractor (ViBe) in moving target detection algorithm are used to segment the suspected flame regions. Then, multidimensional features of flames are extracted from the suspected regions, and these extracted features are combined and selected according to the RF feature importance analysis. Finally, a BP neural network model is constructed for multifeature fusion and fire recognition. The test results on several experimental video sets show that the proposed method can effectively avoid feature interference and has an excellent recognition effect on fires in a variety of scenarios. The proposed method is applicable for fire recognition applied in video surveillance and detection robots.<\/jats:p>","DOI":"10.1155\/2022\/5160050","type":"journal-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T15:20:18Z","timestamp":1641396018000},"page":"1-10","source":"Crossref","is-referenced-by-count":10,"title":["Random Forest Feature Selection and Back Propagation Neural Network to Detect Fire Using Video"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4802-8059","authenticated-orcid":true,"given":"Jin-Xing","family":"Liang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"},{"name":"Hebei Key Laboratory of Robot Sensing and Human-Robot Integration, Tianjin 300401, China"},{"name":"School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian-Fu","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"},{"name":"Hebei Key Laboratory of Robot Sensing and Human-Robot Integration, Tianjin 300401, China"},{"name":"School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Sun","sequence":"additional","affiliation":[{"name":"School CITIC Heavy Industry Kaicheng Intelligent Equipment Co., Ltd., Tangshan 063000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1688-603X","authenticated-orcid":true,"given":"Bao-Jun","family":"Shi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"},{"name":"Hebei Key Laboratory of Robot Sensing and Human-Robot Integration, Tianjin 300401, China"},{"name":"School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/8325845"},{"key":"2","first-page":"1707","article-title":"An early fire-detection method based on image processing","author":"T. H. Chen"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2008.05.005"},{"key":"4","article-title":"Low-light forest flame image segmentation based on color features","volume":"1069, article 012165","author":"Y. Wang","year":"2018","journal-title":"Journal of Physics: Conference Series (JPCS)"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/s10694-017-0683-x"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5554316"},{"key":"7","first-page":"1","article-title":"Saliency based fire detection using texture and color features","author":"M. Jamali"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2101613"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2392531"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/1939171"},{"key":"11","first-page":"150","article-title":"A SVM approach for vessel fire detection based on image processing","author":"X. Yang"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2990224"},{"issue":"4","key":"13","first-page":"298","article-title":"A flame image detection method based on YCbCr color space and BP neural network","volume":"31","author":"N. Qu","year":"2019","journal-title":"Journal of Shenyang University (Natural Science Edition)"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.csite.2020.100625"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3075731"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2812835"},{"issue":"10","key":"17","first-page":"1271","article-title":"Video fire detection based on color and flicker frequency feature","volume":"8","author":"Y. Yan","year":"2014","journal-title":"Journal of Frontiers of Computer Science and Technology"},{"key":"18","first-page":"100","article-title":"A new image-based real-time flame detection method using color analysis","author":"W. B. Horng"},{"key":"19","first-page":"95","article-title":"BoWFire: detection of fire in still images by integrating pixel color and texture analysis","author":"D. Y. T. Chino"},{"key":"20","first-page":"1","article-title":"Research on image fire detection based on support vector machine","author":"K. Chen"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2258353"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.5772\/58821"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1102-y"},{"key":"24","first-page":"367","article-title":"Video image fire recognition based on color space and moving object detection","author":"Q. Zhang"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3086136"},{"issue":"3","key":"26","first-page":"590","article-title":"Fire detection using multi-channel information and gray level co-occurrence matrix image features","volume":"13","author":"J. H. Jun","year":"2017","journal-title":"Journal of Information Processing Systems"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2010.03.014"},{"key":"28","first-page":"1","article-title":"Contour based smoke detection in video using wavelets","author":"B. U. Toreyin"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2008.07.006"},{"key":"30","first-page":"25","article-title":"An unconstrained dataset for non-stationary video based fire detection","author":"R. Steffens"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1109\/JCAI.2009.79"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1007\/s10694-020-01030-9"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2022\/5160050.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2022\/5160050.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2022\/5160050.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T15:20:26Z","timestamp":1641396026000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2022\/5160050\/"}},"subtitle":[],"editor":[{"given":"Mu","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2022,1,5]]},"references-count":32,"alternative-id":["5160050","5160050"],"URL":"https:\/\/doi.org\/10.1155\/2022\/5160050","relation":{},"ISSN":["1687-7268","1687-725X"],"issn-type":[{"value":"1687-7268","type":"electronic"},{"value":"1687-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2022,1,5]]}}}