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Maskeli Yüz Tanımlamada İnsan Performansı

Yıl 2024, Cilt: 5 Sayı: 2, 64 - 75, 31.12.2024
https://doi.org/10.53608/estudambilisim.1585026

Öz

İnsanlar, yaşamları boyunca zamanlarının çoğunu yüzlere bakarak geçirirler; dolayısıyla yüz tanımada oldukça başarılı olabilmektedirler. Yüzler medikal maske, gözlük ve aksesuarlarla kısmen kapandığında, bu tanımlama başarısı düşebilmektedir. Bu çalışmanın amacı, adli olaylara tanık olan kişilerin, bir suç işlenmesi durumunda medikal maskeyle kapatılan yüzleri ne kadar başarılı bir şekilde tanımlayabildiklerini belirlemektir. Çalışmada 195 katılımcıya yer verilmiş ve tanımlamaları için 40 yüz görüntüsü kullanılmıştır (20 maskeli, 20 maskesiz). Elde edilen verilerin istatistiksel analizi SPSS 20.0 aracılığıyla frekans analizi, regresyon analizi ve ANOVA ile test edildi. Cinsiyetler arasında tanımlama performansında önemli bir fark olmasa da yaşın tanımlama üzerinde etkisi olmuştur. Ancak katılımcılar, medikal maskeli yüzleri maskesiz yüzlerden daha doğru bir şekilde tanımlamışlardır.

Kaynakça

  • [1] Freud, E., Di Giammarino, D., Stajduhar, A., Rosenbaum, R. S., Avidan, G., Ganel, T. 2021. Recognition of masked faces in the era of the pandemic: No improvement, despite extensive, natural exposure. Psychol. Sci. 33(10):1635-1650. DOI:10.31234/osf.io/x3gzq
  • [2] Freud, E., Stajduhar, A., Rosenbaum, R. S., Avidan, G., Ganel, T. 2020. The COVID-19 pandemic masks the way people perceive faces. Scientific Reports, 10(1):1-8. DOI:10.1038/s41598-020-78986-9
  • [3] Noyes, E., Davis, J. P., Petrov, N., Gray, K. L. H., Ritchie, K. L. 2021. The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers. R. So. Open Sci. 8:201169. https://doi.org/10.1098/rsos.201169
  • [4] Carragher, DJ, Hancock, P. 2020. Surgical face masks impair human face matching performance for familiar and unfamiliar faces. Cog. Res.: Princ. Implic. 5:1-15. https://doi.org/10.1186/s41235-020-00258-x
  • [5] Young, A. W., Burton, A. M. 2018. Are we Face Experts?. Trends in Cognitive Sciences, 22(2):100-110. DOI:10.1016/j.tics.2017.11.007.
  • [6] Bruce, V., Henderson, Z., Newman, C., Burton, A. M. 2001. Matching Identities of Familiar and Unfamiliar Faces Caught on CCTV Images. Journal of Experimental Psychology: Applied, 7(3):207-218. DOI: 10.1037//1076-898X.7.3.207
  • [7] Young, A. W., Burton, A. M. 2017. Recognizing Faces. Current Directions in Psychological Science, 26(3):212-217. https://doi.org/10.1177/0963721416688114
  • [8] Steblay, N., Dysart, J., Fulero, S., Lindsay, R. C. 2003. Eyewitness Accuracy Rates in Police Showup and Lineup Presentation: A Meta-Analytic Comparison. Law & Human Behavior, 27:523-540. https://doi.org/10.1023/A:1025438223608
  • [9] Steblay, N., Dysart, J., Fulero, S., Lindsay, R. C. 2001. Eyewitness Accuracy Rates in Sequential and Simultaneous Lineup Presentations: A Meta-Analytic Comparison. Law & Human Behavior, 25:459-473. doi:10.1023/a:1012888715007
  • [10] Megreya, A. M., Burton, A. M. 2006. Unfamiliar Faces are not Faces: Evidence from a Matching Task. Memory & Cognition, 34 (4):865-876. DOI:10.3758/bf03193433.
  • [11] Ritchie, K. L., Smith, F. G., Jenkins, R., Bindemann, M., White, D., Burton, A. M. 2015. Viewers Base Estimates of Face Matching Accuracy on Their Own Familiarity: Explaining the Photo-ID Paradox. Cognition, 141:161-169. https://doi.org/10.1016/j.cognition.2015.05.002
  • [12] Megreya, A. M., Burton, A. M. 2006. Unfamiliar Faces are not Faces: Evidence from a Matching Task. Memory & Cognition, 34 (4):865-876. DOI:10.3758/bf03193433.
  • [13] Graham, D. L., Ritchie, K. L. 2019. Making A Spectacle of Yourself: The Effect of Glasses and Sunglasses on Face Perception. Perception, 48(6):461-470. DOI: 10.1177/0301006619844680
  • [14] Kramer, R. S., Ritchie, K. L. 2016. Disguising Superman: How Glasses Affect Unfamiliar Face Matching. Applied Cognitive Psychology, 30(6):841-845. https://doi.org/10.1002/acp.3261
  • [15] Kramer, R. S. S., Manesi, Z., Towler, A., Reynolds, M. G., Burton, A. M. 2017. Familiarity and Within-Person Facial Variability: The Importance of the Internal and External Features. Perception, 47(1):3-15. https://doi.org/10.1177/0301006617725242
  • [16] O'Donnell, C., Bruce, V. 2001. Familiarisation with Faces Selectively Enhances Sensitivity to Changes Made to the Eyes. Perception, 30(6):755-764. DOI:10.1068/p3027.
  • [17] Burton, A. M., White, D., McNeill, A. 2010. The Glasgow Face Matching Test. Behavior Research Methods, 2010;42(1):286-291. DOI:10.3758/BRM.42.1.286
  • [18] Ritchie, K. L., Mireku, M. O., Kramer, R. S. 2020. Face Averages and Multiple Images in a Live Face Matching Task. British Journal of Psychology, 11(1):92-102. DOI:10.1111/bjop.12388
  • [19] Davis, J. P., Valentine, T. 2009. CCTV on Trial: Matching Video Images with the Defendant in the Dock. Applied Cognitive Psychology, 23(4):482-505. https://doi.org/10.1002/acp.1490
  • [20] Standford, A., Ritchie, K. L. 2021. Unfamiliar Face Matching, Within-Person Variability, and Multiple-Image Arrays. Visual Cognition, pp.1-15. https://doi.org/10.1080/13506285.2021.1883170
  • [21] Phillips, P. J., Hill, M. Q., Swindle, J. A., O'Toole, A. J. 2015. Human and Algorithm Performance on the PaSC Face Recognition Challenge. IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), Arlington: IEEE, 1-8. doi: 10.1109/BTAS.2015.7358765
  • [22] Phillips, P. J., O'Toole, A. J. 2014. Comparison of Human and Computer Performance Across Face Recognition Experiments. Image and Vision Computing, 32:74-85. http://dx.doi.org/10.1016/j.imavis.2013.12.002
  • [23] Deng, J., Guo, J., An, X., Zhu, Z., Zafeiriou, S. 2021. Masked face recognition challenge: The insightface track report, Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 1437-1444.
  • [24] Nagrath, P., Jain, R., Madan, A., Arora, R., Kataria, P., Hemanth, J. 2021. SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2. Sustainable Cities and Society, 66:102692. https://doi.org/10.1016/j.scs.2020.102692
  • [25] Rahmani, A. M., Mirmahaleh, S. Y. H. 2020. Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review. Sustainable Cities and Society, 102568. https://doi.org/10.1016/j.scs.2020.102568
  • [26] Damer, N., Boutros, F., Sußmilcha, M., Fang, M., Kirchbuchnera, F., Kuijper, A. 2021. Masked face recognition: Human vs. Machine, arxiv preprint arxiv:2103.01924. https://doi.org/10.48550/arXiv.2103.01924
  • [27] Huang, B., Wang, Z., Wang, G., Jiang, K., He, Z., Zou, H., Zou, Q. 2021. Masked face recognition datasets and validation. Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.1487-1491.
  • [28] Alzu’bi, A., Albalas, F., AL-Hadhrami, T., Younis, L. B., Bashayreh, A. 2021. Masked face recognition using deep learning: A review. Electronics, 10(2666). https://doi.org/10.3390/ electronics10212666
  • [29] Zeng, D., Veldhuis, R., Spreeuwers, L. 2021. A survey of face recognition techniques under occlusion. IET Biome, 10:581-606. DOI: 10.1049/bme2.12029
  • [30] Vu, H. N., Nguyen, M. H., Pham, C. 2022. Masked face recognition with convolutional neural networks and lokal binary patterns. Applied Intelligence, 52:5497-5512. https://doi.org/10.1007/s10489-021-02728-1
  • [31] Hariri, W. 2022. Efficient masked face recognition method during the COVİD-19 pandemic. Signal, Image and Video Processing, 16:605-612. https://doi.org/10.1007/s11760-021-02050-w
  • [32] Duchaine, B., Nakayama, K. 2006. The Cambridge Face Memory Test: Results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants. Neuropsychologia, 44:576-585. DOI:10.1016/j.neuropsychologia.2005.074.001
  • [33] Bowles, D. C., McKone, E., Dawel, A., Duchaine, B., Palermo, R., Schmalzl, L., et al. 2009. Diagnosing prosopagnosia: Effects of aging, sex, and participant-stimulus ethnic match on the Cambridge Face Memory Test and Cambridge Face Perception Test. Cogn. Neuropsychol. 26:423-455. DOI:10.1080/02643290903343149
  • [34] Russel, R., Duchaine, B., Nakayama, K. 2009. Super-recognisers: People with extraordinary face recognition ability. Psychon. Bull. Rev. 16:252-257. DOI:10.3758/PBR.16.2.252
  • [35] Herlitz, A., Lovén, J. 2013. Sex differences and the own- gender bias in face recognition: A meta-analytic review. Visual Cognition, 21(9–10):1306–1336. https://doi.org/10. 1080/13506285.2013.823140
  • [36] Rose, A. J., Rudolph, K. D. 2006. A review of sex differences in peer relationship processes: Potential trade-offs for the emotional and behavioral development of girls and boys. Psychological Bulletin, 132(1):98– 131. https://doi.org/10. 1037/0033-2909.132.1.98
  • [37] Ryan, K. F., Gauthier, I. 2016. Gender differences in recognition of toy faces suggest a contribution of experience. Vision Research, 129:69–76. https://doi.org/10.1016/j.visres. 2016.10.003
  • [38] Damer, N., Grebe, J. H., Chen, C., Boutros, F., Kirchbuchner, F., Kuijper, A. 2020. The effect of wearing a mask on face recognition performance: An exploratory study. 2020 International Conference of the Biometrics Special Interest Group (BIOSIG), 16-18 Sep.
  • [39] Lamont, A. C., Stewart-Williams, S., Podd, J. 2005. Face recognition and aging: Effects of target age and memory load. Memory & Cognition, 33(6):1017-1024. https://doi.org/10.3758/BF03193209
  • [40] Wolff, N., Wiese, H., Schweinberger, S. P. 2012. Face recognition memory across the adult life span: Event-related potential evidence from the own-age bias. Psychology and Aging, 27:1066-1081. DOI:10.1037/a0029112
  • [41] Rhodes, M. G., Anastasi, J. S. 2012. The own-age bias in face recognition: A meta-analytic and theoretical review. Psychological Bulletin. 138:146-174. DOI:10.1037/a0025750

Human performance in identifying masked face

Yıl 2024, Cilt: 5 Sayı: 2, 64 - 75, 31.12.2024
https://doi.org/10.53608/estudambilisim.1585026

Öz

Humans who spend most of their time looking at faces throughout their lives can be quite successful in facial recognition. When faces are partially covered by medical masks, glasses and accessories, this identification success may decrease. The purpose of this study is to determine how successfully people who witnessed the events can identify faces that are mostly covered by medical masks in the event that a crime is committed. The study referred to 195 participants and used 40 facial images (20 masked, 20 unmasked). The obtained data was statistically analyzed using SPSS 20.0, including frequency analysis, regression analysis, and ANOVA. While there was no substantial difference in identification performance across sexes, age had an impact on identification. However, participants identified medical masked faces more accurately than unmasked ones.

Etik Beyan

Kütahya Health Sciences University Non-invasive Clinical Research Ethics Committee approved the study ethic protocol. This work has been carried out in accordance with the Helsinki Declaration.

Kaynakça

  • [1] Freud, E., Di Giammarino, D., Stajduhar, A., Rosenbaum, R. S., Avidan, G., Ganel, T. 2021. Recognition of masked faces in the era of the pandemic: No improvement, despite extensive, natural exposure. Psychol. Sci. 33(10):1635-1650. DOI:10.31234/osf.io/x3gzq
  • [2] Freud, E., Stajduhar, A., Rosenbaum, R. S., Avidan, G., Ganel, T. 2020. The COVID-19 pandemic masks the way people perceive faces. Scientific Reports, 10(1):1-8. DOI:10.1038/s41598-020-78986-9
  • [3] Noyes, E., Davis, J. P., Petrov, N., Gray, K. L. H., Ritchie, K. L. 2021. The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers. R. So. Open Sci. 8:201169. https://doi.org/10.1098/rsos.201169
  • [4] Carragher, DJ, Hancock, P. 2020. Surgical face masks impair human face matching performance for familiar and unfamiliar faces. Cog. Res.: Princ. Implic. 5:1-15. https://doi.org/10.1186/s41235-020-00258-x
  • [5] Young, A. W., Burton, A. M. 2018. Are we Face Experts?. Trends in Cognitive Sciences, 22(2):100-110. DOI:10.1016/j.tics.2017.11.007.
  • [6] Bruce, V., Henderson, Z., Newman, C., Burton, A. M. 2001. Matching Identities of Familiar and Unfamiliar Faces Caught on CCTV Images. Journal of Experimental Psychology: Applied, 7(3):207-218. DOI: 10.1037//1076-898X.7.3.207
  • [7] Young, A. W., Burton, A. M. 2017. Recognizing Faces. Current Directions in Psychological Science, 26(3):212-217. https://doi.org/10.1177/0963721416688114
  • [8] Steblay, N., Dysart, J., Fulero, S., Lindsay, R. C. 2003. Eyewitness Accuracy Rates in Police Showup and Lineup Presentation: A Meta-Analytic Comparison. Law & Human Behavior, 27:523-540. https://doi.org/10.1023/A:1025438223608
  • [9] Steblay, N., Dysart, J., Fulero, S., Lindsay, R. C. 2001. Eyewitness Accuracy Rates in Sequential and Simultaneous Lineup Presentations: A Meta-Analytic Comparison. Law & Human Behavior, 25:459-473. doi:10.1023/a:1012888715007
  • [10] Megreya, A. M., Burton, A. M. 2006. Unfamiliar Faces are not Faces: Evidence from a Matching Task. Memory & Cognition, 34 (4):865-876. DOI:10.3758/bf03193433.
  • [11] Ritchie, K. L., Smith, F. G., Jenkins, R., Bindemann, M., White, D., Burton, A. M. 2015. Viewers Base Estimates of Face Matching Accuracy on Their Own Familiarity: Explaining the Photo-ID Paradox. Cognition, 141:161-169. https://doi.org/10.1016/j.cognition.2015.05.002
  • [12] Megreya, A. M., Burton, A. M. 2006. Unfamiliar Faces are not Faces: Evidence from a Matching Task. Memory & Cognition, 34 (4):865-876. DOI:10.3758/bf03193433.
  • [13] Graham, D. L., Ritchie, K. L. 2019. Making A Spectacle of Yourself: The Effect of Glasses and Sunglasses on Face Perception. Perception, 48(6):461-470. DOI: 10.1177/0301006619844680
  • [14] Kramer, R. S., Ritchie, K. L. 2016. Disguising Superman: How Glasses Affect Unfamiliar Face Matching. Applied Cognitive Psychology, 30(6):841-845. https://doi.org/10.1002/acp.3261
  • [15] Kramer, R. S. S., Manesi, Z., Towler, A., Reynolds, M. G., Burton, A. M. 2017. Familiarity and Within-Person Facial Variability: The Importance of the Internal and External Features. Perception, 47(1):3-15. https://doi.org/10.1177/0301006617725242
  • [16] O'Donnell, C., Bruce, V. 2001. Familiarisation with Faces Selectively Enhances Sensitivity to Changes Made to the Eyes. Perception, 30(6):755-764. DOI:10.1068/p3027.
  • [17] Burton, A. M., White, D., McNeill, A. 2010. The Glasgow Face Matching Test. Behavior Research Methods, 2010;42(1):286-291. DOI:10.3758/BRM.42.1.286
  • [18] Ritchie, K. L., Mireku, M. O., Kramer, R. S. 2020. Face Averages and Multiple Images in a Live Face Matching Task. British Journal of Psychology, 11(1):92-102. DOI:10.1111/bjop.12388
  • [19] Davis, J. P., Valentine, T. 2009. CCTV on Trial: Matching Video Images with the Defendant in the Dock. Applied Cognitive Psychology, 23(4):482-505. https://doi.org/10.1002/acp.1490
  • [20] Standford, A., Ritchie, K. L. 2021. Unfamiliar Face Matching, Within-Person Variability, and Multiple-Image Arrays. Visual Cognition, pp.1-15. https://doi.org/10.1080/13506285.2021.1883170
  • [21] Phillips, P. J., Hill, M. Q., Swindle, J. A., O'Toole, A. J. 2015. Human and Algorithm Performance on the PaSC Face Recognition Challenge. IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), Arlington: IEEE, 1-8. doi: 10.1109/BTAS.2015.7358765
  • [22] Phillips, P. J., O'Toole, A. J. 2014. Comparison of Human and Computer Performance Across Face Recognition Experiments. Image and Vision Computing, 32:74-85. http://dx.doi.org/10.1016/j.imavis.2013.12.002
  • [23] Deng, J., Guo, J., An, X., Zhu, Z., Zafeiriou, S. 2021. Masked face recognition challenge: The insightface track report, Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 1437-1444.
  • [24] Nagrath, P., Jain, R., Madan, A., Arora, R., Kataria, P., Hemanth, J. 2021. SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2. Sustainable Cities and Society, 66:102692. https://doi.org/10.1016/j.scs.2020.102692
  • [25] Rahmani, A. M., Mirmahaleh, S. Y. H. 2020. Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review. Sustainable Cities and Society, 102568. https://doi.org/10.1016/j.scs.2020.102568
  • [26] Damer, N., Boutros, F., Sußmilcha, M., Fang, M., Kirchbuchnera, F., Kuijper, A. 2021. Masked face recognition: Human vs. Machine, arxiv preprint arxiv:2103.01924. https://doi.org/10.48550/arXiv.2103.01924
  • [27] Huang, B., Wang, Z., Wang, G., Jiang, K., He, Z., Zou, H., Zou, Q. 2021. Masked face recognition datasets and validation. Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.1487-1491.
  • [28] Alzu’bi, A., Albalas, F., AL-Hadhrami, T., Younis, L. B., Bashayreh, A. 2021. Masked face recognition using deep learning: A review. Electronics, 10(2666). https://doi.org/10.3390/ electronics10212666
  • [29] Zeng, D., Veldhuis, R., Spreeuwers, L. 2021. A survey of face recognition techniques under occlusion. IET Biome, 10:581-606. DOI: 10.1049/bme2.12029
  • [30] Vu, H. N., Nguyen, M. H., Pham, C. 2022. Masked face recognition with convolutional neural networks and lokal binary patterns. Applied Intelligence, 52:5497-5512. https://doi.org/10.1007/s10489-021-02728-1
  • [31] Hariri, W. 2022. Efficient masked face recognition method during the COVİD-19 pandemic. Signal, Image and Video Processing, 16:605-612. https://doi.org/10.1007/s11760-021-02050-w
  • [32] Duchaine, B., Nakayama, K. 2006. The Cambridge Face Memory Test: Results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants. Neuropsychologia, 44:576-585. DOI:10.1016/j.neuropsychologia.2005.074.001
  • [33] Bowles, D. C., McKone, E., Dawel, A., Duchaine, B., Palermo, R., Schmalzl, L., et al. 2009. Diagnosing prosopagnosia: Effects of aging, sex, and participant-stimulus ethnic match on the Cambridge Face Memory Test and Cambridge Face Perception Test. Cogn. Neuropsychol. 26:423-455. DOI:10.1080/02643290903343149
  • [34] Russel, R., Duchaine, B., Nakayama, K. 2009. Super-recognisers: People with extraordinary face recognition ability. Psychon. Bull. Rev. 16:252-257. DOI:10.3758/PBR.16.2.252
  • [35] Herlitz, A., Lovén, J. 2013. Sex differences and the own- gender bias in face recognition: A meta-analytic review. Visual Cognition, 21(9–10):1306–1336. https://doi.org/10. 1080/13506285.2013.823140
  • [36] Rose, A. J., Rudolph, K. D. 2006. A review of sex differences in peer relationship processes: Potential trade-offs for the emotional and behavioral development of girls and boys. Psychological Bulletin, 132(1):98– 131. https://doi.org/10. 1037/0033-2909.132.1.98
  • [37] Ryan, K. F., Gauthier, I. 2016. Gender differences in recognition of toy faces suggest a contribution of experience. Vision Research, 129:69–76. https://doi.org/10.1016/j.visres. 2016.10.003
  • [38] Damer, N., Grebe, J. H., Chen, C., Boutros, F., Kirchbuchner, F., Kuijper, A. 2020. The effect of wearing a mask on face recognition performance: An exploratory study. 2020 International Conference of the Biometrics Special Interest Group (BIOSIG), 16-18 Sep.
  • [39] Lamont, A. C., Stewart-Williams, S., Podd, J. 2005. Face recognition and aging: Effects of target age and memory load. Memory & Cognition, 33(6):1017-1024. https://doi.org/10.3758/BF03193209
  • [40] Wolff, N., Wiese, H., Schweinberger, S. P. 2012. Face recognition memory across the adult life span: Event-related potential evidence from the own-age bias. Psychology and Aging, 27:1066-1081. DOI:10.1037/a0029112
  • [41] Rhodes, M. G., Anastasi, J. S. 2012. The own-age bias in face recognition: A meta-analytic and theoretical review. Psychological Bulletin. 138:146-174. DOI:10.1037/a0025750
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Nurdan Sezgin 0000-0002-9850-5730

Erken Görünüm Tarihi 20 Aralık 2024
Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 14 Kasım 2024
Kabul Tarihi 13 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 5 Sayı: 2

Kaynak Göster

IEEE N. Sezgin, “Human performance in identifying masked face”, ESTUDAM Bilişim, c. 5, sy. 2, ss. 64–75, 2024, doi: 10.53608/estudambilisim.1585026.

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