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JACIII Vol.18 No.1 pp. 40-47
doi: 10.20965/jaciii.2014.p0040
(2014)

Paper:

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Design and Implementation of a Prototype Cloud Video Surveillance System

Yong-Hua Xiong, Shao-Yun Wan, Yong He,
and Dan Su

School of Information Science and Engineering, Central South University, Yuelu District, Changsha, 410083, China

Received:
May 22, 2013
Accepted:
November 18, 2013
Published:
January 20, 2014
Creative Commons License
Keywords:
cloud computing, video surveillance, parallel computing, distributed storage
Abstract
Cloud-based video surveillance systems, as a new cloud computing service model, are an emerging research topic, both at home and abroad. Current research is mainly focused on exploring applications of the system. This paper proposes a design and implementation method for cloud-based video surveillance systems using the characteristics of cloud computing, such as parallel computing, large storage space, and easy expandability. The system architecture and function modules are built, and a prototype cloud-based video surveillance system is established in a campus network using key technologies, including virtual machine task access control, video-data distributed storage, and database-active communicationmethods. Using the system, the user is able to place a webcam in a location that requires monitoring so that video surveillance can be achieved, and video data can be viewed through a browser. The system has the following advantages: low investment and maintenance cost, high portability, easily extendable, superior data security, and excellent sharing. As a private cloud server in the campus network, the system is able to not only provide convenient video surveillance services, but it can also be an excellent practical experimental platform for cloud computing-related research, which carries outstanding application value.
Cite this article as:
Y. Xiong, S. Wan, Y. He, and D. Su, “Design and Implementation of a Prototype Cloud Video Surveillance System,” J. Adv. Comput. Intell. Intell. Inform., Vol.18 No.1, pp. 40-47, 2014.
Data files:
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