Individual status recognition system assisted by UAV in post-disaster

Kakeru Ehara, Maher Aljehani, Taketoshi Yokemura, Masahiro Inoue

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

Abstract

When natural disasters occur, there is a possibility of having many injured people in the disaster area. In the meanwhile, rescue teams have to aid these injured individuals as fast as possible. In this study, we proposed a recognition system of individual status to help rescue teams. Employing Unmanned Aerial Vehicles (UAVs) system after disaster occurrence gives many advantages. For instance, a UAV can cover a wide area and provide aerial photographs in a short period. This study aims to classify whether an individual status is standing, sitting, or lying on the ground by using supervised machine learning. Experiments revealed that the system is able to recognize all three types of individual status with an accuracy of 95.6%. Moreover, the authors confirmed the usefulness of using a UAV to recognize individuals in the post-disaster scenario.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics, ICCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728151861
DOIs
Publication statusPublished - 2020 Jan
Event2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States
Duration: 2020 Jan 42020 Jan 6

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2020-January
ISSN (Print)0747-668X

Conference

Conference2020 IEEE International Conference on Consumer Electronics, ICCE 2020
CountryUnited States
CityLas Vegas
Period20/1/420/1/6

Keywords

  • Deep learning
  • Disaster response
  • Image processing
  • Rescue missions
  • Status recognition
  • Unmanned Aerial Vehicles

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Ehara, K., Aljehani, M., Yokemura, T., & Inoue, M. (2020). Individual status recognition system assisted by UAV in post-disaster. In 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 [9043101] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2020-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE46568.2020.9043101