基于大数据的道路视频监控系统框架分析

Framework Analysis of Road Video Monitoring System Based on Big Data

随着国家安全和公共安全对智能监控系统的需求的增加,可用的视频数据量呈指数增加。为了及时检索最重要的信息,图像索引是非常必要的。本研究以实时存储的大数据为基础,提出了一种新的视频监控自动索引与检索框架。本框架在网关、用户之间进行查询传输时,采用了基于虚拟专用网双网的安全策略,在IP连通性上采用第二层隧道协议和第二层转发协议进行安全保护。

As the demand for intelligent surveillance systems for national security and public safety increases,the amount of available video data is increasing exponentially.In order to retrieve the most important information in a timely manner,image indexing is essential.This study proposes a new framework for automatic indexing and retrieval of video surveillance based on big data stored in real time.This framework uses a security policy based on virtual private network dual network for query transmission between gateways and users,and layer 2 tunneling protocol and layer 2 forwarding protocol for security protection in IP connectivity.