Enabling Smart Urban Surveillance at the Edge

Ning Chen, Yu Chen, Erik Blasch, Haibin Ling, Yang You, Xinyue Ye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

The unprecedented urbanization and the staggering development of modern information and communication technologies (ICT) demonstrate that the concept of Smart City is attractive and achievable. Beyond the scope of traditional city services and applications, Smart Cities provide urban planners and policy makers proactive and timely information to obtain a dynamic and comprehensive understanding about the rhythm of our cities. The sustainability of Smart Cities necessitates the capability of computations and data analysis at the edge of the networks, especially for mission critical applications requiring real-time information fusion and on-site decision making. Fog Computing, an extension of Cloud Computing, enables heterogeneous mobile and smart computing devices at the edge to collaborate for instant decision making. In this paper, a smart urban surveillance platform has been proposed employing a Fog Computing paradigm. Taking an urban traffic monitoring as a case study, a prototype has been built and tested. Leveraging the underlay fog network, the real-time multi-target tracking task is accomplished using the l1 target tracking algorithm. Compared with the Cloud Computing, the experimental results are very encouraging and validate the feasibility of smart urban surveillance for instant decision making using Fog Computing at the network edges.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017
EditorsMeikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-119
Number of pages11
ISBN (Electronic)9781538636848
DOIs
StatePublished - Nov 22 2017
Externally publishedYes
Event2nd IEEE International Conference on Smart Cloud, SmartCloud 2017 - New York, United States
Duration: Nov 3 2017Nov 5 2017

Publication series

NameProceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017

Conference

Conference2nd IEEE International Conference on Smart Cloud, SmartCloud 2017
CountryUnited States
CityNew York
Period11/3/1711/5/17

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Computer Networks and Communications

Keywords

  • Edge Computing
  • Fog Computing
  • Multi-target Tracking
  • Smart Urban Surveillance

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  • Cite this

    Chen, N., Chen, Y., Blasch, E., Ling, H., You, Y., & Ye, X. (2017). Enabling Smart Urban Surveillance at the Edge. In M. Qiu (Ed.), Proceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017 (pp. 109-119). [8118427] (Proceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartCloud.2017.24