Research Article
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Year 2021, Volume: 25 Issue: 6, 1394 - 1407, 31.12.2021
https://doi.org/10.16984/saufenbilder.981927

Abstract

References

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A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces

Year 2021, Volume: 25 Issue: 6, 1394 - 1407, 31.12.2021
https://doi.org/10.16984/saufenbilder.981927

Abstract

COVID-19 is an ongoing pandemic and according to the experts, using a face mask can reduce the spread of the disease. On the other hand, masks cause occlusion in faces and can create safety problems such as the recognition of the face and the estimation of its age. To prevent the spread of COVID-19, some countries have restrictions according to age groups. Also in different countries, people in some age groups have safety restrictions such as driving and consuming alcohol, etc. But these rules are difficult to follow due to occlusion in faces. Automated systems can assist to monitor these rules. In this study, a deep learning-based automated multi-task face detection and age group classification system is proposed for masked faces. The system first detects masked/no-masked-faces. Then, it classifies them according to age-groups. It works for multi-person regardless of indoor/outdoor environment. The system achieved 79.0% precision score for masked face detection using Faster R-CNN with resnet50 network. Also, 83.87% accuracy for classifying age groups with masked faces and 84.48% accuracy for no-masked faces using densenet201 network have been observed. It produced better results compared to the literature. The results are significant because they show that a reliable age classification for masked faces is possible.

References

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There are 63 citations in total.

Details

Primary Language English
Subjects Artificial Intelligence
Journal Section Research Articles
Authors

Gozde Yolcu 0000-0002-7841-2131

İsmail Öztel 0000-0001-5157-7035

Publication Date December 31, 2021
Submission Date August 12, 2021
Acceptance Date November 3, 2021
Published in Issue Year 2021 Volume: 25 Issue: 6

Cite

APA Yolcu, G., & Öztel, İ. (2021). A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces. Sakarya University Journal of Science, 25(6), 1394-1407. https://doi.org/10.16984/saufenbilder.981927
AMA Yolcu G, Öztel İ. A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces. SAUJS. December 2021;25(6):1394-1407. doi:10.16984/saufenbilder.981927
Chicago Yolcu, Gozde, and İsmail Öztel. “A Multi-Task Deep Learning System for Face Detection and Age Group Classification for Masked Faces”. Sakarya University Journal of Science 25, no. 6 (December 2021): 1394-1407. https://doi.org/10.16984/saufenbilder.981927.
EndNote Yolcu G, Öztel İ (December 1, 2021) A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces. Sakarya University Journal of Science 25 6 1394–1407.
IEEE G. Yolcu and İ. Öztel, “A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces”, SAUJS, vol. 25, no. 6, pp. 1394–1407, 2021, doi: 10.16984/saufenbilder.981927.
ISNAD Yolcu, Gozde - Öztel, İsmail. “A Multi-Task Deep Learning System for Face Detection and Age Group Classification for Masked Faces”. Sakarya University Journal of Science 25/6 (December 2021), 1394-1407. https://doi.org/10.16984/saufenbilder.981927.
JAMA Yolcu G, Öztel İ. A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces. SAUJS. 2021;25:1394–1407.
MLA Yolcu, Gozde and İsmail Öztel. “A Multi-Task Deep Learning System for Face Detection and Age Group Classification for Masked Faces”. Sakarya University Journal of Science, vol. 25, no. 6, 2021, pp. 1394-07, doi:10.16984/saufenbilder.981927.
Vancouver Yolcu G, Öztel İ. A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces. SAUJS. 2021;25(6):1394-407.