Adaptive Face Mask Detection System based on Scene Complexity Analysis (장면 복잡도 기반 적응적 얼굴 마스크 탐지 모델)

Jaeyong Kang (강재용); Jeonghwan Gwak (곽정환)

doi:10.9708/jksci.2021.26.05.001

Adaptive Face Mask Detection System based on Scene Complexity Analysis

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(5), pp.1-8
DOI : 10.9708/jksci.2021.26.05.001
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : February 16, 2021
Accepted : May 3, 2021
Published : May 31, 2021

Jaeyong Kang ¹, Jeonghwan Gwak ¹

¹한국교통대학교

Accredited

ABSTRACT

Coronavirus disease 2019 (COVID-19) has affected the world seriously. Every person is required for wearing a mask properly in a public area to prevent spreading the virus. However, many people are not wearing a mask properly. In this paper, we propose an efficient mask detection system. In our proposed system, we first detect the faces of input images using YOLOv5 and classify them as the one of three scene complexity classes (Simple, Moderate, and Complex) based on the number of detected faces. After that, the image is fed into the Faster-RCNN with the one of three ResNet (ResNet-18, 50, and 101) as backbone network depending on the scene complexity for detecting the face area and identifying whether the person is wearing the mask properly or not. We evaluated our proposed system using public mask detection datasets. The results show that our proposed system outperforms other models.

KEYWORDS

Artificial intelligence, Machine learning, Object detection, Deep learning, Mask detection, COVID-19

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Adaptive Face Mask Detection System based on Scene Complexity Analysis

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Adaptive Face Mask Detection System based on Scene Complexity Analysis

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.