{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T11:24:36Z","timestamp":1783509876817,"version":"3.55.0"},"reference-count":51,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,5]],"date-time":"2018-11-05T00:00:00Z","timestamp":1541376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"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":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This work considers using camera sensors to detect fire smoke. Static features including texture, wavelet, color, edge orientation histogram, irregularity, and dynamic features including motion direction, change of motion direction and motion speed, are extracted from fire smoke to train and test with different combinations. A robust AdaBoost (RAB) classifier is proposed to improve training and classification accuracy. Extensive experiments on well known challenging datasets and application for fire smoke detection demonstrate that the proposed fire smoke detector leads to a satisfactory performance.<\/jats:p>","DOI":"10.3390\/s18113780","type":"journal-article","created":{"date-parts":[[2018,11,5]],"date-time":"2018-11-05T10:43:45Z","timestamp":1541414625000},"page":"3780","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["A Video Based Fire Smoke Detection Using Robust AdaBoost"],"prefix":"10.3390","volume":"18","author":[{"given":"Xuehui","family":"Wu","sequence":"first","affiliation":[{"name":"School of Automation, Southeast University, Nanjing 210096, China"},{"name":"Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing 210096, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7707-7538","authenticated-orcid":false,"given":"Xiaobo","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Automation, Southeast University, Nanjing 210096, China"},{"name":"Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing 210096, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henry","family":"Leung","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Calgary, 2500 University Dr N.W., Calgary, AB T2N 1N4, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Fonollosa, J., Sol\u00f3rzano, A., and Marco, S. 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