Journal article Open Access

# The Future of Video Analytics for Surveillance and Its Ethical Implications

Adams, A. A.; Ferryman, J. M.

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{
"description": "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. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.",
"creator": [
{
"affiliation": "Meiji University (\u660e\u6cbb\u5927\u5b66)",
"@type": "Person",
},
{
"@type": "Person",
"name": "Ferryman, J. M."
}
],
"headline": "The Future of Video Analytics for Surveillance and Its Ethical Implications",
"datePublished": "2017-06-19",
"contributor": [],
"url": "https://zenodo.org/record/812016",
"keywords": [
"Surveillance",
"CCTV",
"Video Analytics",
"Ethics",
"Regulation",
"Facial Recognition",
"Computer Vision",
"Cognitive Vision"
],
"@context": "https://schema.org/",
"identifier": "https://doi.org/10.5281/zenodo.812016",
"@id": "https://doi.org/10.5281/zenodo.812016",
"@type": "ScholarlyArticle",
"name": "The Future of Video Analytics for Surveillance and Its Ethical Implications"
}
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