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Colour analysis and verification of CCTV images under different lighting conditions
Abstract
Colour information is not faithfully maintained by a CCTV imaging chain. Since colour can play an important role in identifying objects it is beneficial to be able to account accurately for changes to colour introduced by components in the chain. With this information it will be possible for law enforcement agencies and others to work back along the imaging chain to extract accurate colour information from CCTV recordings. A typical CCTV system has an imaging chain that may consist of scene, camera, compression, recording media and display. The response of each of these stages to colour scene information was characterised by measuring its response to a known input. The main variables that affect colour within a scene are illumination and the colour, orientation and texture of objects. The effects of illumination on the appearance of colour of a variety of test targets were tested using laboratory-based lighting, street lighting, car headlights and artificial daylight. A range of typical cameras used in CCTV applications, common compression schemes and representative displays were also characterised.
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There is a concerning lack of standardization of required CCTV installation, recording conditions, and image quality.
“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 [91]
CCTV systems in general do not accurately capture color information from a scene and have been deemed mostly unreliable in a forensic context.
“CCTV systems in general do not accurately capture color information from a scene [119] and have been deemed mostly unreliable in a forensic context [91,120].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [91]
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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
- Smith, R. A., MacLennan-Brown, K., Tighe, J. F., Cohen, N., Triantaphillidou, S., & MacDonald, L. W.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2008-01-27
- Volume
- 6808
- Pages
- 68080Y
- ISSN
- 0277-786X
- Cited by
- 3
- References
- 0
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