Content-oriented Multicamera Trajectory Forecasting Surveillance Network System

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

Abstract

To reduce safety violations in wide-area ranges, there is a need for highly functional multicamera surveillance systems. We introduce a multicamera trajectory forecasting surveillance network system based on a content-oriented suspicious object network system. This system uses multiple cameras in detection and recognition to track persons among different areas and is capable of retracking people. Each camera node has a processing unit and uses information-centric networking technology to build a content-oriented IoT network. We use field-recorded data to support the simulation, and the evaluation result indicates that our trajectory forecasting method is more efficient than conventional surveillance systems.

Original languageEnglish
Title of host publicationICUFN 2021 - 2021 12th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages17-22
Number of pages6
ISBN (Electronic)9781728164762
DOIs
Publication statusPublished - 2021 Aug 17
Event12th International Conference on Ubiquitous and Future Networks, ICUFN 2021 - Virtual, Jeju Island, Korea, Republic of
Duration: 2021 Aug 172021 Aug 20

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2021-August
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference12th International Conference on Ubiquitous and Future Networks, ICUFN 2021
Country/TerritoryKorea, Republic of
CityVirtual, Jeju Island
Period21/8/1721/8/20

Keywords

  • content-oriented
  • ICN
  • IoT
  • surveillance network
  • trajectory forecasting

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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