基于Hadoop的视频监控系统的设计与实现
发布时间：2018-11-11 15:34
【摘要】：随着平安中国项目的深入,公众对视频监控的需求越来越强烈。摄像头等视频采集设备的清晰度不断提高,监控器的个数不断增加,对视频处理的需求不断提高,这与传统的网络视频监控系统架构发生矛盾。而日益兴起的云计算为视频监控开辟了一条新的道路,云视频监控系统满足了大数据计算、存储的要求,解决了传统的视频监控系统的缺陷。本文的工作正是在云计算技术基础上搭建大规模高清视频监控系统。 本文首先简单介绍视频监控技术的发展过程和目前视频监控技术遇到的瓶颈问题,从而引入云计算,重点介绍分布式文件系统HDFS和MapReduce,在了解Hadoop平台的基础上,选择合适的技术,给出监控系统几个功能部分的具体设计和实现,包括搜索视频、上传视频、存储视频、视频转码、下载视频,最后对系统进行功能测试和分析。
[Abstract]:With the deepening of Ping an China project, the public demand for video surveillance is becoming stronger and stronger. The definition of video acquisition equipment such as camera is improved, the number of monitors is increasing, and the demand for video processing is increasing, which conflicts with the traditional network video surveillance system architecture. The rising cloud computing has opened a new way for video surveillance. Cloud video surveillance system meets the requirements of big data's computing and storage, and solves the defects of traditional video surveillance system. The work of this paper is to build a large-scale high-definition video surveillance system based on cloud computing technology. This paper first introduces the development process of video surveillance technology and the bottleneck of video surveillance technology at present, then introduces cloud computing, focusing on the distributed file system HDFS and MapReduce, on the basis of understanding the Hadoop platform. The detailed design and implementation of several functional parts of the monitoring system are given, including searching video, uploading video, storing video, video transcoding, downloading video, and finally testing and analyzing the function of the system.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN948.6
本文编号：2325298
[Abstract]:With the deepening of Ping an China project, the public demand for video surveillance is becoming stronger and stronger. The definition of video acquisition equipment such as camera is improved, the number of monitors is increasing, and the demand for video processing is increasing, which conflicts with the traditional network video surveillance system architecture. The rising cloud computing has opened a new way for video surveillance. Cloud video surveillance system meets the requirements of big data's computing and storage, and solves the defects of traditional video surveillance system. The work of this paper is to build a large-scale high-definition video surveillance system based on cloud computing technology. This paper first introduces the development process of video surveillance technology and the bottleneck of video surveillance technology at present, then introduces cloud computing, focusing on the distributed file system HDFS and MapReduce, on the basis of understanding the Hadoop platform. The detailed design and implementation of several functional parts of the monitoring system are given, including searching video, uploading video, storing video, video transcoding, downloading video, and finally testing and analyzing the function of the system.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN948.6
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