摘要
为解决传统监控摄像机在超宽温野外环境下存在工作不稳定、可靠性差、智能化程度低、视场角小和全天候工作能力差等问题,提出一种基于嵌入式平台的多路可见光和红外双光模组融合拼接识别处理方法。嵌入式处理平台采用ARM+FPGA架构,集成于探测预警摄像机内部,智能探测识别摄像机前段监控场景中的威胁目标,并进行效果验证。结果表明:该摄像机集成度高、结构紧凑,能减轻监控系统终端视频处理的压力。
In order to solve the problems of general camera with unstable operation, poor reliability, low intelligence, small field of view, and poor all-weather working ability in the super wide temperature range field environment, a method of fusion, mosaic and recognition of multi-channel visible and infrared based on embed plat form is proposed. The embed platform adopting the construction of ARM + FPGA, integrated in the detection and early warning camera, realizes the intelligent detection and recognition of threat targets in the fore-end of monitor systems, and validate its effectiveness. Results show that the camera has high integration and compact construction, and reducing pressure of video processing of the terminal monitor center.
作者
田瑞娟
薛云波
金丰护
张振禹
Tian Ruijuan;Xue Yunbo;Jin Fenghu;Zhang Zhenyu(Department of Special Products,Automation Research Institute Co.,Ltd.of China South Industries Group Corporation,Mianyang 621000,China;Chengdu Tuying Video&Communication Technology Co.,Ltd.,Chengdu 610000,China;Department of Intelligent Manufacturing,Automation Research Institute Co.,Ltd.of China South Industries Group Corporation,Mianyang 621000,China)
出处
《兵工自动化》
2020年第4期21-22,34,共3页
Ordnance Industry Automation
关键词
双光融合
周界监控
智能识别
double-spectrum fusion
boundary detection
intelligent recognition