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TR
Face Detection by Measuring Thermal Value to Avoid Covid-19
Öz
In this study, custom Single Shot Detection (SSD) was used to detect infected people faces because of Covid-19. It has been suggested to determine around the eyes area where the body temperature of the person most accurate by determining the facial landmarks with Ensemble of Regression Trees (ERT) model on these detected faces. Finally, the thermal value was measured from around the eyes area in a non-contact way using sensor fusion. As a result of the analyzes made, it was observed that the proposed system gave results close to the different measurement methods
Anahtar Kelimeler
Teşekkür
Değerli desteklerinden dolayı Dr. Bayram Akdemir'e teşekkür etmek istiyorum.
Kaynakça
- Cai, Q., Huang, D., Ou, P., Yu, H., Zhu, Z., Xia, Z., ... & Chen, J. (2020). COVID‐19 in a designated infectious diseases hospital outside Hubei Province, China. Allergy, 75(7), 1742-1752.
- Ge, S., Li, J., Ye, Q., & Luo, Z. (2017). Detecting masked faces in the wild with lle-cnns. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2682-2690).
- Hays, J. N. (2005). Epidemics and pandemics: their impacts on human history. Abc-clio.
- Jiang, H., & Learned-Miller, E. (2017, May). Face detection with the faster R-CNN. In 2017 12th IEEE international conference on automatic face & gesture recognition (FG 2017) (pp. 650-657). IEEE.
- Kazemi, V., & Sullivan, J. (2014). One millisecond face alignment with an ensemble of regression trees. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1867-1874).
- Li, D., Menassa, C. C., & Kamat, V. R. (2018). Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography. Energy and Buildings, 176, 246-261.
- Li, H., Lin, Z., Shen, X., Brandt, J., & Hua, G. (2015). A convolutional neural network cascade for face detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 5325-5334).
- Liu, Z., Luo, P., Wang, X., & Tang, X. (2015). Deep learning face attributes in the wild. In Proceedings of the IEEE international conference on computer vision (pp. 3730-3738).
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
31 Mayıs 2022
Gönderilme Tarihi
6 Mayıs 2022
Kabul Tarihi
9 Mayıs 2022
Yayımlandığı Sayı
Yıl 2022 Sayı: 36
APA
Tuna, K., & Akdemir, B. (2022). Face Detection by Measuring Thermal Value to Avoid Covid-19. Avrupa Bilim ve Teknoloji Dergisi, 36, 191-196. https://doi.org/10.31590/ejosat.1113302
AMA
1.Tuna K, Akdemir B. Face Detection by Measuring Thermal Value to Avoid Covid-19. EJOSAT. 2022;(36):191-196. doi:10.31590/ejosat.1113302
Chicago
Tuna, Kubilay, ve Bayram Akdemir. 2022. “Face Detection by Measuring Thermal Value to Avoid Covid-19”. Avrupa Bilim ve Teknoloji Dergisi, sy 36: 191-96. https://doi.org/10.31590/ejosat.1113302.
EndNote
Tuna K, Akdemir B (01 Mayıs 2022) Face Detection by Measuring Thermal Value to Avoid Covid-19. Avrupa Bilim ve Teknoloji Dergisi 36 191–196.
IEEE
[1]K. Tuna ve B. Akdemir, “Face Detection by Measuring Thermal Value to Avoid Covid-19”, EJOSAT, sy 36, ss. 191–196, May. 2022, doi: 10.31590/ejosat.1113302.
ISNAD
Tuna, Kubilay - Akdemir, Bayram. “Face Detection by Measuring Thermal Value to Avoid Covid-19”. Avrupa Bilim ve Teknoloji Dergisi. 36 (01 Mayıs 2022): 191-196. https://doi.org/10.31590/ejosat.1113302.
JAMA
1.Tuna K, Akdemir B. Face Detection by Measuring Thermal Value to Avoid Covid-19. EJOSAT. 2022;:191–196.
MLA
Tuna, Kubilay, ve Bayram Akdemir. “Face Detection by Measuring Thermal Value to Avoid Covid-19”. Avrupa Bilim ve Teknoloji Dergisi, sy 36, Mayıs 2022, ss. 191-6, doi:10.31590/ejosat.1113302.
Vancouver
1.Kubilay Tuna, Bayram Akdemir. Face Detection by Measuring Thermal Value to Avoid Covid-19. EJOSAT. 01 Mayıs 2022;(36):191-6. doi:10.31590/ejosat.1113302