Poster abstract: Smart urban surveillance using fog computing

Ning Chen, Yu Chen, Sejun Song, Chin Tser Huang, Xinyue Ye

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

49 Scopus citations

Abstract

Though the rapid globally urbanization and Internet of Things (IoT) are creating great opportunities for researchers and urban planners to get significant insight of our cities, efficient information extraction and instant decision making are still key issues in which Cloud Computing is not the universal solution any more. We present an urban traffic speeding monitoring system using Fog Computing which not only can track the speeding vehicle and obtain speed information in real-time, but also implement multi-target tracking using single target tracking algorithm. The preliminary experimental results are encouraging and validate our Fog Computing architecture.

Original languageEnglish (US)
Title of host publicationProceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-96
Number of pages2
ISBN (Electronic)9781509033218
DOIs
StatePublished - Dec 5 2016
Externally publishedYes
Event1st IEEE/ACM Symposium on Edge Computing, SEC 2016 - Washington, United States
Duration: Oct 27 2016Oct 28 2016

Publication series

NameProceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016

Conference

Conference1st IEEE/ACM Symposium on Edge Computing, SEC 2016
CountryUnited States
CityWashington
Period10/27/1610/28/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture

Keywords

  • Fog Computing
  • Real-time processing
  • Traffic Surveillance
  • Urbanization

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