A Resident Recognition Using Real and Thermal Image Pairs

Abdulkabir Abdulraheem, Im Y. Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Various methods of personal identification and authentication using biometric data have been developed. However, there are downsides to these techniques due to the risk of data leakage during the authentication process and the data acquisition environment required for recognition. We propose a scheme to identify the residents in the daily living space through pairs of real and thermal images taken from Internet of Things (IoT) cameras monitoring the space.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
EditorsShusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6573-6574
Number of pages2
ISBN (Electronic)9781665480451
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan
Duration: 17 Dec 202220 Dec 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Conference

Conference2022 IEEE International Conference on Big Data, Big Data 2022
Country/TerritoryJapan
CityOsaka
Period17/12/2220/12/22

Keywords

  • IoT camera
  • Real image
  • Resident recognition
  • Thermal image

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