SIA OpenIR  > 机器人学研究室
Flame detection based on Spatio-Temporal Covariance matrix
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
会议录名称IEEE ICARM 2016 - 2016 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM)
出版者IEEE
出版地NEW YORK
2016
页码112-116
收录类别EI ; CPCI(ISTP)
EI收录号20164903085008
WOS记录号WOS:000386653600020
产权排序1
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
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19409
专题机器人学研究室
通讯作者Gu ZJ(古长军)
作者单位1.Automation and Electrical Engineering Department, Shenyang Li Gong University, Shenyang, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Gu ZJ,Tian DY,Cong Y,et al. Flame detection based on Spatio-Temporal Covariance matrix[C]//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. NEW YORK:IEEE,2016:112-116.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Flame detection base(334KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Gu ZJ(古长军)]的文章
[Tian DY(田冬英)]的文章
[Cong Y(丛杨)]的文章
百度学术
百度学术中相似的文章
[Gu ZJ(古长军)]的文章
[Tian DY(田冬英)]的文章
[Cong Y(丛杨)]的文章
必应学术
必应学术中相似的文章
[Gu ZJ(古长军)]的文章
[Tian DY(田冬英)]的文章
[Cong Y(丛杨)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Flame detection based on Spatio-Temporal Covariance matrix.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。