Motion Tolerance for Dynamic Object Recognition Using Visible Light IDs

Nobuhide Yokota, Hiroshi Yasaka, Kazuya Sugiyasu, Hideyuki Takahashi

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

5 Citations (Scopus)

Abstract

Dynamic recognition of objects labeled by visible light IDs is numerically investigated for obtaining a high optical signal-to-noise ratio in received optical signals when a relative motion between the objects and observer considerably alters. An averaging effect of pixel values in an image sensor shows a tradeoff between reductions in accumulated image sensor noises and spatially varying noises originating from the relative motion. Our results suggest that a real-time optimization of the averaging process is suitable for an efficient recognition of visible light IDs toward applications for the disaster risk reduction.

Original languageEnglish
Title of host publication2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages231-235
Number of pages5
ISBN (Electronic)9781538663097
DOIs
Publication statusPublished - 2018 Dec 12
Event7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan
Duration: 2018 Oct 92018 Oct 12

Publication series

Name2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018

Other

Other7th IEEE Global Conference on Consumer Electronics, GCCE 2018
Country/TerritoryJapan
CityNara
Period18/10/918/10/12

Keywords

  • Drone
  • Imgae sensor
  • Internet of things
  • Visible light ID

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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