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作 者:甄好 王连明 ZHEN Hao;WANG Lian-ming(School of Physics,Northeast Normal University,Changchun 130024,China;School of Ocean Science and Technology,Hainan Tropical Ocean University,Sanya 572022,China)
机构地区:[1]东北师范大学物理学院,吉林长春130024 [2]海南热带海洋学院海洋科学与技术学院,海南三亚572022
出 处:《东北师大学报(自然科学版)》2021年第4期62-67,共6页Journal of Northeast Normal University(Natural Science Edition)
基 金:吉林省科技发展计划项目(20170204035GX,20170204050GX).
摘 要:为了满足对大场景进行监控的需求,设计了一种基于多摄像头的远程实时监控系统.系统主要由视频采集、网络传输、远程图像拼接与显示3个部分组成.视频采集部分以FPGA为处理器,通过控制TW2867视频解码芯片实现4路视频同时采集;网络传输部分通过控制千兆以太网收发芯片RTL8211EG,并采用UDP协议实现了视频数据到上位机的高速传输;上位机接收多摄像头数据后,使用OpenCV及GPU完成了图像的快速拼接和显示.采用千兆交换机构建了8个摄像头的大场景远程实时监控系统,测试结果表明:系统视频传输速率可达912 MB;初始化完成后,全景图像拼接时间只需0.38 s;视频刷新速度可以达到15帧/s.所设计的系统可以扩展连接更多的摄像头,满足了更大场景拼接的需求.In order to meet the needs of monitoring large scenes,a remote real-time monitoring system based on multi-camera was designed.The system is mainly composed of video capture,network transmission,remote image stitching and display.The video acquisition part uses FPGA as the processor to realize 4-channel video simultaneous acquisition by controlling TW2867 video decoding chip;the network transmission part controls the Gigabit Ethernet transceiver chip RTL8211EG,and realizes high-speed transmission of video data to the upper computer by UDP protocol;After the host computer receives the multi-camera data,the image is quickly stitched and displayed using OpenCV and GPU.A large-scale remote real-time monitoring system with 8 cameras is built by Gigabit switch.After testing,the system video transmission rate can reach 912 MB.After initialization,the panoramic image stitching time is only 0.38 s;the video refresh rate can reach 15 frames/s.The designed system can be extended to connect more cameras to meet the needs of larger scene stitching.
关 键 词:多摄像头 实时监控 多图拼接 FPGA 以太网传输 GPU
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]
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