Mask Detection and Classification in Thermal Face Images-Reference-Cited by-同舟云学术

Mask Detection and Classification in Thermal Face Images

Published:2023 Issue: Volume:11 Page:43349-43359
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kowalczyk Natalia¹^ORCID,Sobotka Milena¹,Rumiński Jacek¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

Funder

IDUB Combating Coronavirus Program “Thermographic system for automatic monitoring of people with increased body temperature”

Statutory Funds of Electronics, Telecommunications and Informatics Faculty, Gdańsk University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10113628.pdf?arnumber=10113628

Reference51 articles.

1. Face Mask Detection and Classification for COVID-19 using Deep Learning

2. Detecting Masked Faces in the Wild with LLE-CNNs

3. A fully annotated thermal face database and its application for thermal facial expression recognition

4. Labeled faces in the wild: A database forstudying face recognition in unconstrained environments;huang;Workshop Faces Real-Life’Images Detection Alignment Recognit,2008

5. Real-Time Facemask Detection for Preventing COVID-19 Spread Using Transfer Learning Based Deep Neural Network

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