A framework for scalable cloud video recorder system in surveillance environment

Chia Feng Lin*, Muh Chyi Leu, Shyan-Ming Yuan, Ching Tsorng Tsai

*Corresponding author for this work

    Research output: Contribution to conferencePaperpeer-review

    38 Scopus citations

    Abstract

    In recent years, video surveillance industry has encountered huge evolution. First, the IP based video cameras are gradually replacing the market share of Closed-circuit television (CCTV). Second, hardware and software based network video record come to market to support more amounts of camera sources. However, pure NVR hardware or software which is installed on single physical machine may reach maximum storage or throughput limitation due to predefined resource limitation. In this paper, we proposed a prototype of cloud based video recorder system under Infrastructure as a Service (IaaS)abstraction layer in cloud computing domain. This system provides scalable video recording, backup and monitoring features. Furthermore, this system was implemented using Hadoop distributed file system to store video streaming. In this way, Map / Reduce mechanism could be used to support intelligent video analysis tasks. The paper shares a good experience while design unlimited resource video recording system.

    Original languageEnglish
    Pages655-660
    Number of pages6
    DOIs
    StatePublished - 28 Nov 2012
    Event9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012 - Fukuoka, Japan
    Duration: 4 Sep 20127 Sep 2012

    Conference

    Conference9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012
    Country/TerritoryJapan
    CityFukuoka
    Period4/09/127/09/12

    Keywords

    • Streaming
    • Survillence Cloud
    • Video recorder

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