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Journal ArticleDOI

Face recognition technology: security versus privacy

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TLDR
The interplay of technical and social issues involved in the widespread application of video surveillance for person identification, including face recognition technology, are analyzed.
Abstract
Video surveillance and face recognition systems have become the subject of increased interest and controversy after the September 11 terrorist attacks on the United States. In favor of face recognition technology, there is the lure of a powerful tool to aid national security. On the negative side, there are fears of an Orwellian invasion of privacy. Given the ongoing nature of the controversy, and the fact that face recognition systems represent leading edge and rapidly changing technology, face recognition technology is currently a major issue in the area of social impact of technology. We analyze the interplay of technical and social issues involved in the widespread application of video surveillance for person identification.

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Citations
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Proceedings ArticleDOI

Security management process or video surveillance systems in heterogeneous communication networks

TL;DR: The interdependencies between different security process and/or the different security parameters in video surveillance systems will be analyzed while keeping in mind the heterogeneous nature of the networks in order to achieve an optimal security management process architecture.
Journal ArticleDOI

Machine hermeneutics, postphenomenology, and facial recognition technology

TL;DR: It is argued that machine hermeneutics does not merely consist of technical excellence for the technology involved, but also ethical excellence; the two cannot be considered one apart from the other.
Proceedings ArticleDOI

4D Photogeometric face recognition with time-of-flight sensors

TL;DR: In this article, photogeometric features were proposed to interpret both the photometric texture and geometric shape information of 2D manifolds in a consistent manner, and the 4D features encoded the spatial distribution of gradients that are derived generically for any scalar field on arbitrary organized surface meshes.
Proceedings ArticleDOI

Where, Wherefore, and How? - Contrasting Two Surveillance Contexts According to Acceptance

TL;DR: This paper investigates the acceptance of surveillance technologies for medical and crime surveillance scenarios using a conjoint analysis approach including four relevant aspects: location of surveillance, increase in safety, invasion of privacy, and the applied camera type.
Book ChapterDOI

Surveillance Privacy Protection

TL;DR: The objective of this chapter is to evaluate what types of surveillance, privacy and protection measures are being implemented, how information is being used and what rights individuals have over this.
References
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Journal ArticleDOI

Face recognition: A literature survey

TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Journal ArticleDOI

Detecting faces in images: a survey

TL;DR: In this article, the authors categorize and evaluate face detection algorithms and discuss relevant issues such as data collection, evaluation metrics and benchmarking, and conclude with several promising directions for future research.
Journal ArticleDOI

Human and machine recognition of faces: a survey

TL;DR: A critical survey of existing literature on human and machine recognition of faces is presented, followed by a brief overview of the literature on face recognition in the psychophysics community and a detailed overview of move than 20 years of research done in the engineering community.
Journal ArticleDOI

Comparison and combination of ear and face images in appearance-based biometrics

TL;DR: It is found that recognition performance is not significantly different between the face and the ear, for example, 70.5 percent versus 71.6 percent in one experiment and multimodal recognition using both the ear and face results in statistically significant improvement over either individual biometric.
Journal ArticleDOI

Face Recognition in Poor-Quality Video: Evidence From Security Surveillance:

TL;DR: In this article, the authors examined the ability of subjects to identify target people captured by a commercially available video security device and found that subjects who were personally familiar with the targets performed very well at identifying them, but subjects unfamiliar with the target performed very poorly.
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