The future of video analytics for surveillance and its ethical implications

Adams, Andrew A.; Ferryman, James

doi:10.1057/sj.2012.48

Cited by 32 publications

(15 citation statements)

References 40 publications

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“…Video analytics have been applied to closed-circuit television and video streaming services, such as YouTube, for object detection and tracking, behavioural analysis, and detection of ‘interesting events’ 38. For example, Zangenehpour et al 39 used 90 hours of video at 23 intersections in Montreal to examine the safety of cyclists–driver interactions at intersections with cycle tracks.…”

Section: Population Health Relevant Examples Of Big Data Analysismentioning

confidence: 99%

A glossary for big data in population and public health: discussion and commentary on terminology and research methods

Fuller

Buote

Stanley

2017

J Epidemiol Community Health

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The volume and velocity of data are growing rapidly and big data analytics are being applied to these data in many fields. Population and public health researchers may be unfamiliar with the terminology and statistical methods used in big data. This creates a barrier to the application of big data analytics. The purpose of this glossary is to define terms used in big data and big data analytics and to contextualise these terms. We define the five Vs of big data and provide definitions and distinctions for data mining, machine learning and deep learning, among other terms. We provide key distinctions between big data and statistical analysis methods applied to big data. We contextualise the glossary by providing examples where big data analysis methods have been applied to population and public health research problems and provide brief guidance on how to learn big data analysis methods.

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Section: Population Health Relevant Examples Of Big Data Analysismentioning

confidence: 99%

A glossary for big data in population and public health: discussion and commentary on terminology and research methods

Fuller

Buote

Stanley

2017

J Epidemiol Community Health

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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).…”

Section: Introductionmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

185

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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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“…If we want to understand in better way, we need to understand first, for which types analytics can be applied let us say first and foremost text analysis [17] which says to extract information from unstructured data using IE [18], text summarization [19], QA system which is based on the speech analysis [20] which chooses two approach transcriptbased and phonetic based approach. Scientists are still conducting experiments about how to derive useful knowledge through video streams, the very popular use of video analytics in the protection security and monitoring systems [21].…”

Section: Big Data Analysismentioning

confidence: 99%

Research Perspective on Security Based Algorithm in Big Data Concepts

Rai,

Sharma

2020

IJEAT

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Providing a robust security for large data is one in all the first concern for most of the researchers. This paper makes an attempt to uncover all the protection solutions associated with unstructured, structured and semi structured data. also, the main aim of this paper is to cover the information related with the several encryption algorithms used to provide confidentiality, integrity, privacy and data silos. Different algorithmic program and tools play an efficient role in playacting significant analysis on huge volume, variety of big data.

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The future of video analytics for surveillance and its ethical implications

Cited by 32 publications

References 40 publications

A glossary for big data in population and public health: discussion and commentary on terminology and research methods

A glossary for big data in population and public health: discussion and commentary on terminology and research methods

Visual privacy protection methods: A survey

Research Perspective on Security Based Algorithm in Big Data Concepts

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