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基于云计算的视频取证监控系统*
引用本文:彭召意,周玉,文志强a.基于云计算的视频取证监控系统*[J].计算机应用研究,2011,28(8):2974-2977.
作者姓名:彭召意  周玉  文志强a
作者单位:1. 湖南工业大学 计算机与通信学院,湖南株洲,412008
2. 湖南工业大学 电气与信息工程学院,湖南株洲,412008
基金项目:国家自然科学基金重点资助项目(60736016);网络与信息安全湖南省重点实验室开放基金资助项目(NISL201001)
摘    要:在视频取证过程中,面对多摄像头非协作工作方式的视频取证的缺陷以及海量的视频数据和复杂的取证计算问题,提出了一种基于云计算的视频取证监控系统的解决方案。在该方案中,各摄像头采用协作工作方式,监控系统中的视频数据保存在云计算系统中,终端用户需要的视频监控服务由云计算平台来提供,取证过程中的目标识别和跟踪等复杂计算也由云计算平台提供。该系统可以充分利用云计算平台的虚拟存储和虚拟计算能力,解决取证现场的多摄像头的协作工作能力,提高视频取证的处理效率和取证的准确性以及提高各种终端用户的监控灵活性和方便性。

关 键 词:云计算    视频取证    监控系统    人脸识别    目标跟踪

Monitoring system of digital video forensics based on cloud computing platform
PENG Zhao-yi,ZHOU Yu,WEN Zhi-qianga.Monitoring system of digital video forensics based on cloud computing platform[J].Application Research of Computers,2011,28(8):2974-2977.
Authors:PENG Zhao-yi  ZHOU Yu  WEN Zhi-qianga
Affiliation:PENG Zhao-yia,ZHOU Yub,WEN Zhi-qianga(1.School of Computer & Communication,b.School of Electrical & Information Engineering,Hunan University of Technology,Zhuzhou Hunan 412008,China)
Abstract:During the digital video forensics, facing the defects of multi-cameras in non-cooperative mode and the problems of massive video data and complex computational evidence, this paper presented a solution which about a monitoring system of digital video forensics based on cloud computing. In this program, each camera worked in a cooperative manner, and the video data in monitoring system was stored in the cloud computing system, in which the cloud computing platform could provide the video monitoring services the terminal users needed, and also provided the complex calculations of target identification and target tracking and others during the evidence collecting. The system could take full advantage of virtual storage and virtual computing capabilities of cloud computing platform to improve the ability of collaborative working of on-site multi-cameras, to increase the efficiency and accuracy of the video forensics and to improve the monitoring flexibility and convenience for various terminal users.
Keywords:cloud computing  video forensics  monitoring system  face recognition  object tracking
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