Optimization of wireless video surveillance system for smart campus based on Internet of Things

In order to strengthen school security and build a wireless smart campus, this article optimizes the existing wireless video surveillance system based on the Internet of Things. This paper first optimizes the surveillance quality in the video surveillance system, and proposes a zero-copy buffer stra...

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Bibliographic Details
Published inIEEE access Vol. 8; p. 1
Main Authors Zhou, Zhiqing, Yu, Heng, Shi, Hesheng
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Cameras
Classification algorithms
Codec
Genetic algorithms
Internet of Things
Monitoring
Optimization
Security management
Smart Campus
Strategy
Streaming media
Surveillance
Target tracking
Tracking
Video surveillance
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Summary:In order to strengthen school security and build a wireless smart campus, this article optimizes the existing wireless video surveillance system based on the Internet of Things. This paper first optimizes the surveillance quality in the video surveillance system, and proposes a zero-copy buffer strategy, a network congestion suppression strategy, and a codec rate coordination strategy. Secondly, for the distributed wide area video surveillance system, a tracking optimization method based on multi-camera fusion is proposed. Finally, this paper constructs a Bayesian monitoring event modeling method based on genetic algorithm. Experimental results show that the optimized video surveillance system has basically stable delay, significantly reduced packet loss rate, and smooth video playback. This method can effectively realize the coordinated tracking of multiple cameras in a wide-area monitoring scenario, achieve high tracking and monitoring performance, and meet the requirements of smart campus construction.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3011951