基于深度学习的远程网络视频监控系统的研究与设计  

Research and design of remote network video surveillance system based on deep learning

作　　者：杨华 王瑞祺 赖必贵 YANG Hua;WANG Ruiqi;LAI Bigui(Jiangxia College,Fuzhou Fujian,350000;China National Network Fujian Electric Power Co.,Ltd..Fuzhou Power Supply Co.,Fufian Fuzhou,350000;Fujian Yixin Sea Information Technology Co.,Ltd..Fuzhou Fujian,350000)

机构地区：[1]江夏学院,福建福州350000 [2]国网福建省电力有限公司福州供电公司,福建福州350000 [3]福建省亿鑫海信息科技有限公司,福建福州350000

出　　处：《自动化与仪器仪表》2018年第9期117-120,共4页Automation & Instrumentation

摘　　要：针对远程网络中出现的视频监控智能化的需求,结合智能硬件与视频处理技术,文中基于深度学习算法设计开发了集成化的视频监控系统,解决了视频监控中的目标自动检测、跟踪识别、紧急预警等关键问题。系统在设计时,兼顾了各个视频设备的不同设计标准,具有较高的兼容性、实用性。In order to satisfy the intelligent demand for video surveillance, a professional network monitoring system system based on deep learning is designed in this paper, realizing the effective application service monitoring, threshold warning, etc The software system adopts the deep learning achieving the goal of the improving of the system＇s practicability and reusability.

关 键 词：视频监控 深度学习 系统设计 远程网络 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]