The DOI matches its Crossref record.
Face Recognition in Poor-Quality Video: Evidence From Security Surveillance
Abstract
Security surveillance systems often produce poor-quality video, and this may be problematic in gathering forensic evidence. We examined the ability of subjects to identify target people captured by a commercially available video security device. In Experiment 1, subjects personally familiar with the targets performed very well at identifying them, but subjects unfamiliar with the targets performed very poorly. Police officers with experience in forensic identification performed as poorly as other subjects unfamiliar with the targets. In Experiment 2, we asked how familiar subjects can perform so well. Using the same video device, we edited clips to obscure the head, body, or gait of the targets. Obscuring body or gait produced a small decrement in recognition performance. Obscuring the targets' heads had a dramatic effect on subjects' ability to recognize the targets. These results imply that subjects recognized the targets' faces, even in these poor-quality images.
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The lack of color in most analogue recordings has a large impact in subsequent analysis, particularly in facial comparison.
“The lack of color in most analogue recordings has a large impact in subsequent analysis, particularly in facial comparison [93].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [93]
All forms of facial comparison accuracy will suffer when using low-resolution analogue CCTV images, even if image quality is good in other respects.
“In general, all forms of facial comparison accuracy will suffer when using low-resolution analogue CCTV images, even if image quality is good in other respects [48,81,93,122].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [93]
Subsequent studies replicated the finding of high error rates in unfamiliar face matching across a variety of stimulus sets and task formats.
“Subsequent studies have replicated this basic finding across a variety of stimulus sets and task formats [13–16].”
From Error Rates in Users of Automatic Face Recognition Software (2015) · cites this paper as [14]
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Cited by
Sorted by citations
Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About
Sinha, P., Balas, B., Ostrovsky, Y., & Russell, R. (2006) · Proceedings of the IEEE · doi:10.1109/jproc.2006.884093 · Cited by 674
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques
Li, P., Prieto, L., Mery, D., & Flynn, P. J. (2019) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2890812 · Cited by 171
Error Rates in Users of Automatic Face Recognition Software
White, D., Dunn, J. D., Schmid, A. C., & Kemp, R. I. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139827 · Cited by 141
The cognitive and neural development of face recognition in humans
McKone, E., Crookes, K., & Kanwisher, N. (2009) · The Cognitive Neurosciences · doi:10.7551/mitpress/8029.003.0042 · Cited by 77
Forensic Facial Comparison: Current Status, Limitations, and Future Directions
Bacci, N., Davimes, J. G., Steyn, M., & Briers, N. (2021) · Biology · doi:10.3390/biology10121269 · Cited by 26
Validation of forensic facial comparison by morphological analysis in photographic and CCTV samples
Bacci, N., Houlton, T. M. R., Briers, N., & Steyn, M. (2021) · International Journal of Legal Medicine · doi:10.1007/s00414-021-02512-3 · Cited by 23
Finding Makhubu: A morphological forensic facial comparison
Houlton, T. M. R., & Steyn, M. (2018) · Forensic Science International · doi:10.1016/j.forsciint.2018.01.022 · Cited by 13
Metadata
- Authors
- Burton, A. M., Wilson, S., Cowan, M., & Bruce, V.
- Affiliations
- University of Glasgow, Glasgow, United Kingdom
- University of Stirling, Stirling, United Kingdom
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 1999-05
- Volume
- 10
- Issue
- 3
- Pages
- 243-248
- ISSN
- 0956-7976
- 1467-9280
- Cited by
- 425
- References
- 0
- Language
- en
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