Two-Level Processing Scheme for 3D-Image Sensing Network

Chongyu Li, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki

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

1 Citation (Scopus)

Abstract

This paper proposes a two-level processing scheme for three-dimension-image sensing. The first level processing selects only spatial regions needed for a smart monitoring task to reduce the total volume of data traffic. The second level processing integrates multiple (physical) image sensors into a virtual one to improve the delay and jitter performance in the realtime transmission of data from sensors to the cloud server. We develop a prototype system to implement the proposed scheme. Our demonstration validates that the proposed processing scheme works better than the benchmarks which do not adopt the two-level processing.

Original languageEnglish
Title of host publication2021 IFIP Networking Conference, IFIP Networking 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783903176393
DOIs
Publication statusPublished - 2021 Jun 21
Externally publishedYes
Event20th Annual IFIP Networking Conference, IFIP Networking 2021 - Virtual, Espoo, Finland
Duration: 2021 Jun 212021 Jun 24

Publication series

Name2021 IFIP Networking Conference, IFIP Networking 2021

Conference

Conference20th Annual IFIP Networking Conference, IFIP Networking 2021
Country/TerritoryFinland
CityVirtual, Espoo
Period21/6/2121/6/24

Keywords

  • 3D-image sensing network
  • merging point clouds
  • point cloud selection
  • smart monitoring

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Hardware and Architecture

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