Real‐time image smoke detection using staircase searching‐based dual threshold AdaBoost and dynamic analysis

Author:

Yuan Feiniu1,Fang Zhijun2,Wu Shiqian3,Yang Yong1,Fang Yuming1

Affiliation:

1. School of Information Technology, Jiangxi University of Finance & EconomicsNanchangJiangxi330032People's Republic of China

2. College of Electronic and Electrical Engineering, Shanghai University of Engineering ScienceLongteng Road No. 333, Songjiang DistrictShanghai201620People's Republic of China

3. College of Machinery and Automation, Wuhan University of Science and TechnologyWuhanHubei430081People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference25 articles.

1. 2003 Proc. IEEE 37th Annual Int. Carnahan Conf. Security Technology Taiwan T.H. Chen C.L. Kao S.M. Chang An intelligent real‐time fire‐detection method based on video 104 111

2. 2000 Proc. IEEE 26th Annual Conf. on IECON of Industrial Electronics Society Nagoya Japan H. Yamagishi J. Yamaguchi A contour fluctuation data processing method for fire flame detection using a color camera 824 829

3. 1994 Proc. Vehicle Navigation & Information Systems Conf. Yokohama Japan S. Noda K. Ueda Fire detection in tunnels using an image processing method 57 62

4. 2000 Proc. Fifth III IEEE Workshop Applications of Computer Vision Palm Springs CA USA W. Phillips M. Shah N. Da Vitoria Lobo Flame recognition in video 224 229

5. Computer vision based method for real-time fire and flame detection

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