Flame detection based on Spatio-Temporal Covariance matrix

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Flame detection based on Spatio-Temporal Covariance matrix
	Tian DY(田冬英); Gu CJ(古长军); Cong Y(丛杨); Zhang YZ(张艳珠); Wang S(王帅)
	2016
会议日期	Augest 18-20, 2016
会议地点	Macau, PEOPLES R CHINA
关键词	Fire Detection Background Subtraction Region Covariance Support Vector Machines
页码	112-116
英文摘要	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.
源文献作者	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
产权排序	1
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
语种	英语
ISBN号	978-1-5090-3364-5
WOS记录号	WOS:000386653600020
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/19409]
专题	沈阳自动化研究所_机器人学研究室
通讯作者	Gu CJ(古长军)
作者单位	1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2.Automation and Electrical Engineering Department, Shenyang Li Gong University, Shenyang, China
推荐引用方式 GB/T 7714	Tian DY,Gu CJ,Cong Y,et al. Flame detection based on Spatio-Temporal Covariance matrix[C]. 见:. Macau, PEOPLES R CHINA. Augest 18-20, 2016.