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题名: Flame detection based on Spatio-Temporal Covariance matrix
作者: Gu ZJ(古长军); Tian DY(田冬英); Cong Y(丛杨); Zhang YZ(张艳珠); Wang S(王帅)
作者部门: 机器人学研究室
会议名称: 2016 International Conference on Advanced Robotics and Mechatronics (ICARM)
会议日期: Augest 18-20, 2016
会议地点: Macau, PEOPLES R CHINA
会议主办者: S China Univ Technol, Univ Macau, EEE Syst Man & Cybernet Soc, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intelligence, IEEE SMCA Tech Comm Computat Psychophysiol, IEEE SMCA Tech Comm Bio Mechatron & Bio Robot Syst, IFAC Tech Comm Econ Business & Financial Syst
会议录: IEEE ICARM 2016 - 2016 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM)
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2016
页码: 112-116
收录类别: CPCI(ISTP)
ISBN号: 978-1-5090-3364-5
关键词: fire detection ; background subtraction ; region covariance ; support vector machines
摘要: Automatic fire flame detection is important for intelligent video surveillance. The background model and various color features are usually adopted for flame detection. In this paper, a fire flame detection method is developed by combining both background subtraction and region covariance. The color distribution method and background model with an adaptive background learning model are used to preprocess the image firstly. We then extract the space-temporal covariance matrix, which is used to fuse all the discriminative cues together. Finally we use support vector machine to classify fire scene. The proposed system is effective in detecting uncontrolled fire in complicated environment. Experiments based on several public fire video data sets are utilized to justify the effectiveness of our method.
语种: 英语
产权排序: 1
WOS记录号: WOS:000386653600020
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/19409
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
Gu ZJ,Tian DY,Cong Y,et al. Flame detection based on Spatio-Temporal Covariance matrix[C]. 见:2016 International Conference on Advanced Robotics and Mechatronics (ICARM). Macau, PEOPLES R CHINA. Augest 18-20, 2016.
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