@inproceedings{9e215f650aa345e19308894ea58c8bc0,
title = "Non-intrusive person authentication for access control by visual tracking and face recognition",
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.",
keywords = "Face recognition, Face detection, Gesture recognition, Radial basis function network, Face recognition system",
author = "McKenna, {Stephen J.} and Shaogang Gong",
year = "1997",
doi = "10.1007/BFb0015994",
language = "English",
isbn = "3540626603",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "177--183",
editor = "Josef Bigun and Gerard Chollet and Gunilla Borgefors",
booktitle = "Audio- and Video-based Biometric Person Authentication - 1st International Conference, AVBPA 1997, Proceedings",
address = "Germany",
note = "1st International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 1997 ; Conference date: 12-03-1997 Through 14-03-1997",
}