Editors:
- Fully updated and enhanced new edition
- Presents a range of perspectives on biometrics for surveillance and remote data acquisition
- Provides a focus on acquiring data from a distance, and on processing low-resolution and in-motion data
- Examines distributed computing and embedded computing for surveillance biometrics
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
About this book
This comprehensive and innovative handbook covers several aspects of biometrics from the perspective of recognizing individuals at a distance, in motion, and under a surveillance scenario. The book presents both a broad coverage and an in-depth investigation into the most advanced biometric technologies for recognition at a distance, with applications in areas such as border control, surveillance in critical infrastructures, and ambient intelligence.
Keywords
- Iris Recognition
- Gait Recognition
- Touchless Fingerprint Recognition
- Face Recognition
- Multibiometric Systems
- Biometrics Ethics and Policy
- Biometric Recognition at a Distance
Editors and Affiliations
-
Università Sassari, Alghero, Italy
Massimo Tistarelli
-
Chinese Academy of Science Institute of Automation, Beijing, China
Stan Z. Li
-
University of Maryland, College Park, USA
Rama Chellappa
About the editors
Dr. Massimo Tistarelli is a Professor of Computer Science in the Department of Architecture and Planning at the University of Sassari, Italy.
Dr. Stan Z. Li is a Professor of the Chinese Academy of Sciences and the Director of the Center for Biometrics and Security Research, at the Institute of Automation, Beijing, China.
Dr. Rama Chellappa is the Minta Martin Professor of Engineering and the Director of the Center for Automation Research at the University of Maryland, USA.
Bibliographic Information
Book Title: Handbook of Remote Biometrics
Book Subtitle: For Surveillance and Security
Editors: Massimo Tistarelli, Stan Z. Li, Rama Chellappa
Series Title: Advances in Computer Vision and Pattern Recognition
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Ltd., part of Springer Nature 2025
Hardcover ISBN: 978-1-4471-7340-3Due: 16 January 2025
eBook ISBN: 978-1-4471-7342-7Due: 16 January 2025
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 2
Number of Pages: X, 390