@inproceedings{0e2e457e795e404cb9be98f36337c68a,
title = "A Resident Recognition Using Real and Thermal Image Pairs",
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.",
keywords = "IoT camera, Real image, Resident recognition, Thermal image",
author = "Abdulkabir Abdulraheem and Jung, {Im Y.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Big Data, Big Data 2022 ; Conference date: 17-12-2022 Through 20-12-2022",
year = "2022",
doi = "10.1109/BigData55660.2022.10020734",
language = "English",
series = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6573--6574",
editor = "Shusaku Tsumoto and Yukio Ohsawa and Lei Chen and {Van den Poel}, Dirk and Xiaohua Hu and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan",
booktitle = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
address = "United States",
}