Paper
14 February 1997 FERET (Face Recognition Technology) program
Patrick J. Rauss, Jonathan Phillips, Hyeonjoon Moon, Syed A. Rizvi, Mark K. Hamilton, A. Trent DePersia
Author Affiliations +
Proceedings Volume 2935, Surveillance and Assessment Technologies for Law Enforcement; (1997) https://doi.org/10.1117/12.266788
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States
Abstract
The mission of the Department of Defense (DoD) Counter-drug Technology Development Program Office's Face Recognition Technology (FERET) program is to develop automatic face recognition systems from the development of detection and recognition algorithms in the laboratory through their demonstration in a prototype real-time system. To achieve this objective, the program supports research in face recognition algorithms, the collection of a large database of facial images, independent testing and evaluation of face recognition algorithms, construction of a real-time demonstration systems, and the integration of algorithms into the demonstration systems. The FERET program has established baseline performance for face recognition. The Army Research Laboratory (ARL) has been the technical agent for the Advanced Research Projects Agency since 1993, managing development of the recognition algorithms, database collection, and algorithm testing. Currently ARL is managing the development of several prototype face recognition systems that will demonstrate complete real-time video face identification in an access control mission. This paper gives an overview of the FERET program, presents recent performance results of face recognition algorithms evaluated, and addresses the future direction of the program and applications for DoD and law enforcement.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick J. Rauss, Jonathan Phillips, Hyeonjoon Moon, Syed A. Rizvi, Mark K. Hamilton, and A. Trent DePersia "FERET (Face Recognition Technology) program", Proc. SPIE 2935, Surveillance and Assessment Technologies for Law Enforcement, (14 February 1997); https://doi.org/10.1117/12.266788
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Cited by 4 scholarly publications.
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KEYWORDS
Algorithm development

Detection and tracking algorithms

Databases

Facial recognition systems

Video

Image processing

Defense technologies

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