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Can we ID from CCTV? Image quality in digital CCTV and face identification performance
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“While this global increase in CCTV data is beneficial to criminal investigation and facial comparison, there is a concerning lack of standardization of required installation, recording conditions, and image quality [20,82,89,90,91,92].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [90]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Most systems are notably still lacking in applicability for facial comparison and are primarily disadvantaged not by installation and recording conditions but by image quality [20,82,89,90,92].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [90]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Keval and Sasse [90] found that the number of correct identifications of faces by untrained viewers decreased by 12–18% as MPEG-4 quality decreased and by 4–6% as Wavelet quality decreased (92–32 Kbps for both compression formats).”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [90]
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Citations
Cites
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Research works printed but not linked: 15
- Bachmann, T. "Identification of spatially quantised tachistoscopic images of faces: how many pixels does it take to carry identity?" European Journal of Cognitive Psychology, 3, 87-103 (1999).
- Bromby, M. "To Be Taken At Face Value? Computerised Identification," Information Communication Technology Law Journal, 11(1), 63-73 (2002).
- Bruce, V., Henderson, Z., Greenwood, K., Hanwood, P., Burton, A. M., and Miller, P. "Verification of face identities from images captured on video," Journal of Experimental Psychology: Applied, 5, 339-360 (2001).
- Bruce, V., Henderson, Z., and Burton, A. "Factors affecting accuracy of verifying identities from CCTV images," Journal of Experimental Psychology: Applied, 7, 201-208 (2001).
- Cucchiara, R. "Multimedia surveillance systems," Proc. of Third ACM International Workshop on Video Surveillance & Amp; Sensor Networks (Hilton, Singapore, ACM Press, New York, NY, 3-10 (2005).
- Elliot, E. S., Wills, E. J., and Goldstein, A. G. "The effects of discrimination training on the recognition of white and oriental faces," Bulletin of the Psychonomic Society, 2, 71-73 (1973).
- Green, D. and Swets, J. [Signal detection: theory and psychophysics], Wiley, New York (1966).
- Javed, O. and Shah, M. "Tracking and object classification for automated surveillance," Proc. 7th European Conference on Computer Vision, 343-357 (2002).
- Ketnakker, V. and Zabih, R. "Bayesian multi-camera surveillance," Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 253-259 (1999).
- Knoche, H. and de Meer, H. "Utility Curves: Mean Opinion Scores considered biased," Proc. of IWQoS, 12-14 (1999).
- Knoche, H., McCarthy, J. D., and Sasse, M. A. "Can small be beautiful?: assessing image resolution requirements for mobile TV," Proc. 13th Annual ACM International Conference on Multimedia, ACM Press, New York, 829- 838 (2005).
- Korshunov, P. and Ooi, W. T. "Critical video quality for distributed automated video surveillance," Proc. of 13th Annual ACM International Conference on Multimedia, ACM Press, New York, 151-160 (2005).
- Malpass, R. S. and Kravitz, J. "Recognition for faces of own and other race faces," Journal of Personality and Social Psychology, 13, 330-334 (1969).
- Mead L. The Changing Jurisdiction: usage of video recordings in surveillance, the value of such as evidence and potential problems which can arise. 13th Annual BILETA Conference, Trinity College, Dublin, 1998.
- Robertson, I. L. and Monro, D. M. "Video Surveillance using low bandwidth high compression systems," Proc. European Conference on Security and Detection, 31-35 (1997).
Cited by
Sorted by citations
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
Metadata
- Authors
- Keval, H. U., & Sasse, M. A.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2008-04-03
- Volume
- 6982
- Pages
- 69820K
- ISSN
- 0277-786X
- Cited by
- 17
- References
- 0
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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