Abstract
The objective of DARPA's Human ID at a Distance (HID) program "is to develop automated biometric identification technologies to detect, recognize and identify humans at great distances." While nominally intended for security applications, if deployed widely, such technologies could become an enormous privacy threat, making practical the automatic surveillance of individuals on a grand scale. Face recognition, as the HID technology most rapidly approaching maturity, deserves immediate research attention in order to understand its strengths and limitations, with an objective of reliably foiling it when it is used inappropriately. This paper is a status report for a research program designed to achieve this objective within a larger goal of similarly defeating all HID technologies. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Alexander, J., & Smith, J. (2003). Engineering privacy in public: Confounding face recognition. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2760, 88–106. https://doi.org/10.1007/978-3-540-40956-4_7
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