Comprehensive Evaluation of Stand-Off Biometrics Techniques for Enhanced Surveillance during Major Events

Abstract

The Study Report introduces the concept of stand-off biometric systems: those capable of operating at a greater-than-normal distance between subject and sensor and with less-constrained subject behaviour. While biometric surveillance systems are a type of stand-off biometric system, the two terms are not synonymous, as some stand-off systems call for cooperative subjects, since these will always produce improved performance metrics. Identification of cooperative subjects in stand-off applications is relevant in public safety applications ranging from employee access control to visitor identification at corrections facilities to positive and/or negative identification of travelers at an airport. The stand-off aspect of the field study remained central to the concept of operations for several reasons: distance between the user and the imaging unit may be relevant to operator safety, to queuing and process flow design, and to the use of multimodal sensors that perform additional security checks while biometric identification is taking place. The Study Report discusses the manner in which implementations of core technologies, primarily iris recognition and face recognition, differ from traditional biometric systems in which the interaction between subject and sensor is both volumetrically constrained and explicit. The Report discusses the strengths and weaknesses of face and iris recognition technologies in stand-off systems.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2011
Accession Number
ADA551208

Entities

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Authentication
  • Biometric Security
  • Biometrics
  • Cameras
  • Community Of Practice
  • Computer Access Control
  • Databases
  • Identification
  • Identification Systems
  • Identity Management Systems
  • Information Science
  • National Security
  • Personnel Management
  • Recognition
  • Safety
  • Security
  • Test And Evaluation

Readers

  • Computer Vision.
  • Theoretical Analysis.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy