About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Research on target location technology of campus video surveillance system based on WBAN and Internet of things

Download589 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294665,
        author={jie  gao and Yi  HUANG},
        title={Research on target location technology of campus video surveillance system based on WBAN and Internet of things},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={wban;the internet of things;campus video surveillance;target},
        doi={10.4108/eai.27-8-2020.2294665}
    }
    
  • jie gao
    Yi HUANG
    Year: 2020
    Research on target location technology of campus video surveillance system based on WBAN and Internet of things
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294665
jie gao,*, Yi HUANG1
  • 1: NanChang Business College of jxau
*Contact email: oijsfdiosd984@163.com

Abstract

In the traditional monitoring process, due to too much subjectivity of people, and the human brain's attention to things is accurate, but the sustainability and diversity are poor. When the monitor observes several surveillance cameras at the same time, the accuracy will be greatly reduced with the increase of time.Based on this, a research on target location technology of campus video surveillance system based on WBAN and Internet of things is proposed.Firstly, a three-dimensional geographical scene was constructed to detect the moving target, then the feature of the target was extracted and the image was preprocessed, and the target positioning was realized through the generation of panorama and perspective.Experimental results show that the proposed method has high positioning accuracy.

Keywords
wban;the internet of things;campus video surveillance;target
Published
2020-11-19
Publisher
EAI
http://dx.doi.org/10.4108/eai.27-8-2020.2294665
Copyright © 2020–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL