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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

This summary is machine-generated.

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.

Keywords:

Camera artefacts Camera distortions Surveillance

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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.