When video cameras watch and screen: Privacy implications of pattern recognition technologies

Coudert, Fanny

doi:10.1016/j.clsr.2010.03.007

Cited by 11 publications

(8 citation statements)

References 5 publications

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“…Intelligent monitoring systems threaten individual's right to privacy because of automatic monitoring (Adams & Ferryman, 2013). These systems can retain a variety of information about people habits, visited places, relationships, and so on (Coudert, 2010). It is known that some systems already use facial recognition technology (Goessl, 2012).…”

Section: Introductionmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

186

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Recent advances in computer vision technologies have made possible the development of intelligent monitoring systems for video surveillance and ambientassisted living. By using this technology, these systems are able to automatically interpret visual data from the environment and perform tasks that would have been unthinkable years ago. These achievements represent a radical improvement but they also suppose a new threat to individual's privacy. The new capabilities of such systems give them the ability to collect and index a huge amount of private information about each individual. Next-generation systems have to solve this issue in order to obtain the users' acceptance. Therefore, there is a need for mechanisms or tools to protect and preserve people's privacy. This paper seeks to clarify how privacy can be protected in imagery data, so as a main contribution a comprehensive classification of the protection methods for visual privacy as well as an up-to-date review of them are provided. A survey of the existing privacy-aware intelligent monitoring systems and a valuable discussion of important aspects of visual privacy are also provided.

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Section: Introductionmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

186

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“…Professional bodies similarly issue guidelines to support their membership both in professional practice and research. It has often been assumed that traditional processes are suitable for direct translation and application to the virtual world (Beaulieu & Estalella, 2012; Coudert, 2010). In consequence, the concepts of informed consent, expectations of privacy and anonymity would be assumed to hold.…”

Section: Ethical Considerations In Data Collectionmentioning

confidence: 99%

FloraGuard: Tackling the Online Illegal Trade in Endangered Plants Through a Cross-Disciplinary ICT-Enabled Methodology

Lavorgna

Middleton²,

Pickering³

et al. 2020

Journal of Contemporary Criminal Justice

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This article presents a part of the ongoing Economic and Social Research Council (ESRC)-funded project “FloraGuard: Tackling the illegal trade in endangered plants” that relies on cross-disciplinary approaches to analyze online marketplaces for the illegal trade in endangered plants, and explores strategies to develop digital resources to assist law enforcement in countering and disrupting this criminal market. This contribution focuses on how the project brought together computer science, criminology, conservation science, and law enforcement expertise to create a tool for the automatic gathering of relevant online information to be used for research, intelligence, and investigative purposes. The article also discusses the ethical standards applied and proposes the concept of “artificial intelligence (AI) review” to provide a sociotechnical solution that builds trustworthiness in the AI approaches used for this type of cross-disciplinary information and communications technology (ICT)-enabled methodology.

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“…Every video analytics technology, which require or can reveal some form of identification of the individuals in order to disambiguate the difficult cases when dealing with occlusion, brings about issues of personal privacy, governmental control or societal transparency [4] [5]. Given this fact however, there are some privacy and data protection risks particularly associated with video analytics and biometric data, of which the most relevant can be summarised as follows [6]:…”

Section: Privacy Challenges and Solutionsmentioning

confidence: 99%

The privacy challenges of in-depth video analytics

Piatrik

Fernández

Izquierdo

2012

2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP)

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The increasing need for both automated and privacy-respecting CCTV systems adds many challenges to the tasks of Video Analytics. The growing capabilities of automated surveillance systems lead to the automatic extraction and processing of complex and potentially personal data related to individuals who may not even be aware of it. This paper discusses the issues related to the processing of potentially sensitive information extracted from various computer vision algorithms and techniques such as person tracking, soft biometrics, behaviour analysis or multi-modal person identification, and delivers insights regarding technical solutions and guidelines for achieving a higher level of privacy compliance.

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When video cameras watch and screen: Privacy implications of pattern recognition technologies

Cited by 11 publications

References 5 publications

Visual privacy protection methods: A survey

Visual privacy protection methods: A survey

FloraGuard: Tackling the Online Illegal Trade in Endangered Plants Through a Cross-Disciplinary ICT-Enabled Methodology

The privacy challenges of in-depth video analytics

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