Seckiner Dilan, Mallett Xanthé, Roux Claude, Meuwly Didier, Maynard Philip
Centre for Forensic Science, University of Technology, Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.
Centre for Forensic Science, University of Technology, Sydney, 15 Broadway, Ultimo, NSW 2007, Australia; School of Humanities and Social Science, University of Newcastle, Callaghan, New South Wales 2308, Australia.
Forensic Sci Int. 2018 Apr;285:77-85. doi: 10.1016/j.forsciint.2018.01.024. Epub 2018 Feb 6.
As a result of the worldwide deployment of surveillance cameras, authorities have gained a powerful tool that captures footage of activities of people in public areas. Surveillance cameras allow continuous monitoring of the area and allow footage to be obtained for later use, if a criminal or other act of interest occurs. Following this, a forensic practitioner, or expert witness can be required to analyse the footage of the Person of Interest. The examination ultimately aims at evaluating the strength of evidence at source and activity levels. In this paper, both source and activity levels are inferred from the trace, obtained in the form of CCTV footage. The source level alludes to features observed within the anatomy and gait of an individual, whilst the activity level relates to activity undertaken by the individual within the footage. The strength of evidence depends on the value of the information recorded, where the activity level is robust, yet source level requires further development. It is therefore suggested that the camera and the associated distortions should be assessed first and foremost and, where possible, quantified, to determine the level of each type of distortion present within the footage. A review of the 'forensic image analysis' review is presented here. It will outline the image distortion types and detail the limitations of differing surveillance camera systems. The aim is to highlight various types of distortion present particularly from surveillance footage, as well as address gaps in current literature in relation to assessment of CCTV distortions in tandem with gait analysis. Future work will consider the anatomical assessment from surveillance footage.
由于监控摄像头在全球范围内的部署,当局获得了一个强大的工具,可以捕捉公共场所人们活动的画面。监控摄像头能够对该区域进行持续监控,并在发生犯罪或其他相关行为时获取画面以供后续使用。在此之后,可能需要法医或专家证人对相关人员的画面进行分析。这项检查最终旨在评估源头和活动层面的证据力度。在本文中,源头和活动层面均从以闭路电视画面形式获取的痕迹中推断得出。源头层面涉及个体解剖结构和步态中观察到的特征,而活动层面则与画面中个体所进行的活动相关。证据的力度取决于所记录信息的价值,其中活动层面较为可靠,但源头层面仍需进一步完善。因此,建议首先对摄像头及其相关失真情况进行评估,并尽可能进行量化,以确定画面中存在的每种失真类型的程度。本文对“法医图像分析”进行了综述。它将概述图像失真类型,并详细说明不同监控摄像头系统的局限性。目的是突出特别是监控画面中存在的各种失真类型,以及解决当前文献中与结合步态分析评估闭路电视失真相关的空白。未来的工作将考虑对监控画面进行解剖学评估。