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.read more
Citations
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Journal ArticleDOI
Face recognition: a novel multi-level taxonomy based survey
TL;DR: In this article, the authors proposed a new, more encompassing and richer multi-level face recognition taxonomy, facilitating the organisation and categorisation of available and emerging face recognition solutions.
Journal ArticleDOI
Beyond the Coded Gaze: Analyzing Expression of Mental Health and Illness on Instagram
TL;DR: This paper joins manual collection of Instagram posts with semi-structured interviews and digital ethnography over six months to understand how Instagram users express their experiences with mental health and illness, and argues that individuals negotiate claims to mentalhealth and illness through visibility and signaling.
Proceedings Article
Face Recognition: A Novel Multi-Level Taxonomy based Survey
TL;DR: A new, more encompassing and richer multi-level face recognition taxonomy is proposed, facilitating the organization and categorization of available and emerging face recognition solutions; this taxonomy may also guide researchers in the development of more efficient face recognition Solutions.
Book ChapterDOI
Privacy Protection in a Video Surveillance System
TL;DR: This chapter presents mechanisms for privacy protection in a distributed, multicamera surveillance system and discusses five principles for data presentation of privacy protection systems.
Journal ArticleDOI
Thermal Face Recognition Under Temporal Variation Conditions
Gabriel Hermosilla Vigneau,Jose Luis Verdugo,Gonzalo Farias Castro,Francisco Pizarro,Esteban Vera +4 more
TL;DR: The results indicate that the local matching-based methods (WLD and LBP) are mostly immune to temporal variations, which is noticeable when the face images have been acquired with a time lapse, while the rest of the methods are clearly affected and are not suitable for practical infrared face recognition.
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.