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Forensic image analysis - CCTV distortion and artefacts
Dilan Seckiner1, Xanthé Mallett2, Claude Roux1
1Centre for Forensic Science, University of Technology, Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.
Forensic Science International
|February 18, 2018
Summary
Forensic analysis of closed-circuit television (CCTV) footage can evaluate individual identification at activity and source levels. While activity analysis is robust, source-level identification from gait requires further development, necessitating camera distortion assessment.
Area of Science:
- Forensic Science
- Image Analysis
- Biometrics
Background:
- Surveillance cameras provide valuable footage for forensic analysis.
- Forensic practitioners analyze closed-circuit television (CCTV) footage to assess evidence strength.
- Evidence strength is evaluated at both source and activity levels.
Purpose of the Study:
- To review forensic image analysis techniques for CCTV footage.
- To highlight distortions in surveillance camera systems and their impact on evidence.
- To address literature gaps concerning CCTV distortions and gait analysis.
Main Methods:
- Inference of source and activity levels from CCTV footage.
- Review of image distortion types in surveillance systems.
- Assessment of limitations in differing surveillance camera systems.
Main Results:
- Activity level analysis from CCTV footage is currently robust.
- Source level analysis, particularly gait analysis, requires further development.
- Camera distortions significantly impact the reliability of forensic image analysis.
Conclusions:
- Camera and distortion assessment are crucial first steps in forensic image analysis.
- Further research is needed to integrate CCTV distortion assessment with gait analysis.
- Future work will focus on anatomical assessments from surveillance footage.
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