Non-intrusive person authentication for access control by visual tracking and face recognition

Stephen J. McKenna, Shaogang Gong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

Face recognition systems typically operate robustly only within highly constrained environments. This paper describes work aimed at performing face recognition in more unconstrained environments such as occur in security applications based on closed-circuit television (CCTV). The system described detects and tracks several people as they move through complex scenes. It uses a single, fixed camera and extracts segmented face sequences which can be used to perform face recognition or verification. Example sequences are given to illustrate performance. An application in non-intrusive access control is discussed.

Original languageEnglish
Title of host publicationAudio- and Video-based Biometric Person Authentication - 1st International Conference, AVBPA 1997, Proceedings
EditorsJosef Bigun, Gerard Chollet, Gunilla Borgefors
PublisherSpringer Verlag
Pages177-183
Number of pages7
ISBN (Print)3540626603, 9783540626602
DOIs
Publication statusPublished - 1997
Event1st International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 1997 - Crans-Montana, Switzerland
Duration: 12 Mar 199714 Mar 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1206
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 1997
CountrySwitzerland
CityCrans-Montana
Period12/03/9714/03/97

Keywords

  • Face recognition
  • Face detection
  • Gesture recognition
  • Radial basis function network
  • Face recognition system

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  • Cite this

    McKenna, S. J., & Gong, S. (1997). Non-intrusive person authentication for access control by visual tracking and face recognition. In J. Bigun, G. Chollet, & G. Borgefors (Eds.), Audio- and Video-based Biometric Person Authentication - 1st International Conference, AVBPA 1997, Proceedings (pp. 177-183). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1206). Springer Verlag. https://doi.org/10.1007/BFb0015994