The future of video analytics for surveillance and its ethical implications
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The current state of the art and direction of research in computer vision aimed at automating the analysis of CCTV images is presented. This includes low level identification of objects within the field of view of cameras, following those objects over time and between cameras, and the interpretation of those objects’ appearance and movements with respect to models of behaviour (and therefore intentions inferred). The potential ethical problems (and some potential opportunities) such developments may pose if and when deployed in the real world are presented, and suggestions made as to the necessary new regulations which will be needed if such systems are not to further enhance the power of the surveillers against the surveilled.
Keywordssurveillance CCTV video analytics ethics regulation computer vision
This work was supported by the UK's EPSRC (EP/G069808/1) and Japan's JSPS (Kakenhi (B) 24330127). This work was supported by the European Union project ARENA (FP7-SEC-2010-1: 261658). However, this paper does not necessarily represent the opinion of the European Community, and the European Community is not responsible for any use which may be made of its contents.
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