Abstract
The notion of remote biometrics or biometrics at a distance is today of paramount importance to provide a secure mean for user-friendly identification and surveillance.
In 2007 the BioSecure Network of Excellence published the Biometric Research Agenda (Schouten et al. BioSecure: white paper for research in biometrics beyond BioSecure. CWI report 2008). This network identified, as one of the most urgent topics, research in distributed (intelligent) sensor networks and the transparent use of biometrics, requiring no actions from the end-user in supervised or unsupervised ways. These citizens, sometimes in ways that are yet to be understood.
This chapter introduces the most relevant issues and challenges of biometric sensing and recognition at a distance. Most of these issues are more be deeply analyzed in the subsequent chapters of this book.
Several categorizations of biometric sensing and applications are provided including face recognition and novel biometric sensors for building intelligent environments. Several factors affecting the performances of biometric systems are identified and discussed in some detail. Some typical applications and prospects are illustrated together with their impact in today’s and tomorrow’s society and citizens.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
D. Maltoni, D. Maio, A.K. Jain, S. Prabhakar, Handbook of Fingerprint Recognition, 2nd edn., Springer, New York, 2008.
D.D. Zhang, Palmprint Authentication, Springer, New York, 2004.
J. Wayman, A. Jain, D. Maltoni, D. Maio, Biometric Systems, Springer, New York, 2004.
H. Wechsler, Reliable Face Recognition Methods: System Design, Implementation and Evaluation, Springer, New York, 2007.
M.S. Nixon, T.N. Tan, R. Chellappa, Human Identification Based on Gait, Springer, New York, 2005
R. Cehllappa, S.K. Zhou, Face tracking and recognition from video, in Handbook of Face Recognition, edited by A.K. Jain and S.Z. Li, pp. 169–192, Springer, New York, 2004.
S.K. Zhou, R. Chellappa, W. Zhao, Unconstrained Face Recognition, Springer, New York, 2006.
J.R. Matey, O. Naroditsky, K. Hanna, R. Kolczynski, D. LoIacono, S. Mangru, M. Tinker, T. Zappia, W.Y. Zhao, Iris on the MoveTM: Acquisition of Images for Iris Recognition in Less Constrained Environments, Proc. IEEE. 94(11):1936–1947, November 2006.
National Science and Technology Council, Subcommittee on Biometrics (Duane Blackburn co-chair). The National Biometrics Challenge. August 2007. http://www.biometrics.gov/Documents/biochallengedoc.pdf
The BioSecure Network of Excellence, http://www.biosecure.info
B.A.M. Schouten, F. Deravi, C. García-Mateo, M. Tistarelli, M. Snijder, M. Meints, J. Dittmann. BioSecure: white paper for research in biometrics beyond BioSecure. CWI report 2008, PNA-R0803, ISSN 1386-3711. 2008.
D.J. Cook, S.K. Das, Smart Environments: Technology, Protocols and Applications]. Wiley-Interscience, Hoboke, USA, 2005.
Liberty CCTV, 2008 http://www.liberty-human-rights.org.uk/issues/3-privacy/32-cctv/index.shtml
H.M. Dee, S.A. Velastin, How Close Are We to Solving the Problem of automated visual surveillance? A review of Real-World Surveillance, Scientific Progress and Evaluative Mechanisms. Springer-Verlag, New York, 2007.
M. Friedewald, O. Da Costa, Y. Punie, P. Alahuhta, S. Heinonen, Perspectives of Ambient Intelligence Ambient intelligence in the Home Environment, Telematics and Informatics 22, pp. 221–238, Elsevier Publishing, Amsterdam, 2004.
E. Aarts, E. Diederiks, Ambient Lifestyle, From Concept to Experience. Bis Publishers, Amsterdam, 2006.
E. Pauwels, A.A. Salah, R. Tavenard, Sensor Networks for Ambient Ambient intelligence Intelli-gence, Workshop on Multimedia Signal Processing (MMSP), Crete, October 2007.
S.A. Velastin, B.A. Boghossian, B.P.L. Lo, J. Sun, M.A. Vicencio-Silva, PRISMATICA: towards ambient intelligence in public transport environments. IEEE Trans. Syst. Man Cybern. Part A 35(1):164–182, 2005.
Video-based Threat Assessment and Biometrics Network (ViTAB). http://dircweb.king.ac.uk/vitab/
M.C. Mozer, Lessons from an adaptive home, in Smart Environments: Technologies, Protocols, and Applications, edited by D.J. Cook and S.K. Das, Wiley Series on Parallel and Distributed Computing, 2005, pp. 273–294, Wiley, New York.
D. Cook, M. Youngblood, E. Heierman, K. Gopalratnam, S. Rao, A. Litvin, F. Khawaja, “Mavhom: An agent-based smart home,” in Proc. IEEE PerCom, 2003, pp. 521–524.
AMIGO – Ambient Intelligence for the Networked Home Environment. [Online]. Available: http://www.hitechprojects.com/euprojects/amigo/index.htm
COGNIRON: The Cognitive Robot Companion. [Online]. Available: http://www.cogniron.org/Home.php.
CAVIAR – Context Aware Vision using Image-based Active Recognition. [Online]. Available: http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
D. Hall, F. Pelisson, O. Riff, J.L. Crowley, brand identification using gaussian derivative histograms, Mach Vision Appl, 16(1):41–46, 2004.
A. Waibel, H. Steusloff, R. Stiefelhagen, Chil – computers in the human interaction loop, NIST ICASSP Meeting Recognition Workshop, Montreal, Canada, 2004.
CHIL – Computers in the Human Interaction Loop. [Online]. Available: http://chil.server.de/servlet/is/101/
MIT Project Oxygen: Pervasive Human-Centered Computing. [Online]. Available: http://oxygen.csail.mit.edu/Overview.html.
Mitsubishi Electric Research Laborotories: Ambient Intelligence for Better Buildings. [Online]. Available: http://www.merl.com/projects/ulrs/
C. Kidd, R. Orr, G. Abowd, C. Atkeson, I. Essa, B. MacIntyre, E. Mynatt, T. Starner, W. Newstetter, “The aware home: A living laboratory for ubiquitous computing research,” Proceedings of CoBuild 99, 1999.
F. Fleuret, J. Berclaz, R. Lengagne, P. Fua, Multi-camera people tracking with a prob-abilistic occupancy map, IEEE: Trans. Pattern Anal. Mach. Intell., 30(2):267–282, February 2008.
J. Kang, I. Cohen, G. Medioni, Tracking people in crowded scenes across multiple cameras, Asian Conference on Computer Vision (2004).
A. Mittal, L. Davis, M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene, Int J Comput Vision 51(3):189–203 (2003).
S. Haritaǒglu, D. Harwood, L. Davis, W4: Real-time surveillance of people and their ac-tivities, IEEE Trans. Pattern Anal Mach Intell. 22(8):809–830, 2000.
J. Black, T. Ellis, P. Rosin, Multi-view image surveillance and tracking, IEEE Workshop on Motion and Video Computing (2002).
R. Morros, A.A. Salah, B. Schouten, C.S. Perales, J.L. Serrano, O. Ambekar, C. Kayalar, C. Keskin, L. Akarun. Multimodal identification and localization of users in a smart environment, to appear Journal on Multimodal Interfaces 2008.
A.A. Ross, K. Nandakumar, A.K. Jain, Handbook of Biometrics. Springer Verlag, New York, ISBN 978-0-387-22296-7. 2006.
D.E. Maurer, J.P. Baker, Fusing multimodal biometrics with quality estimates via a Bayesian belief network, Pattern Recogn, 41(3), 821–832, 2007.
E. Tabassi, C. Wilson, C. Watson, NIST Fingerprint Image Quality, NIST Res. Rep. NISTIR7151, 2004.
The Ministry of the Interior and Kingdom Relations, the Netherlands. 2b or not to 2b. http://www.minbzk.nl/contents/pages/43760/evaluatierapport1.pdf. 2005.
O. Fatakusi, J. Kittler, N. Poh, Quality controlled multimodal fusion of biometric experts in progress in pattern recognition, Image Analysis and Applications, pp. 881–890, Springer, Berlin. Lect. Notes Comp. Sci., 4756, 2008.
N. Poh, G. Heusch, J. Kittler. On combination of face authentication experts by a mixture of quality dependent fusion qualifiers. In LNCS 4472, Multiple Classifiers Systems (MCS), Prague, 2007, pp. 344–356.
J. Kittler, N. Poh, O. Fatakusi, K. Messer, K. Kryszczuk, J. Richiardi, A. Drygajlo, Quality dependent fusion of intramodal and multimodal biometric experts. In Proc. of SPIE Defense and Security Symposium, Workshop on Biometric Technology for Human Identification, 2007, vol. 6539.
A.K. Jain, S.C. Dass, K. Nandakumar, Soft biometric traits for personal recognition systems,” in Proceedings of International Conference on Biometric Authentication (ICBA), LNCS 3072, pp. 731–738, 2004.
O. Ambekar, E. Pauwels, B. Schouten, Binding low level features to support opportunistic person identification, 28th Symposium on Information Theory, Enschede, The Netherlands, May 24–25, 2007.
M.S. Magnusson, “Discovering hidden time patterns in behavior: T-patterns and their detection.” Behav Res Methods Instrum Comput, 32(1), 93–110, February 2000.
C. Wren, D. Minnen, S. Rao, Similarity-based analysis for large networks of ultra-low resolution sensors, Pattern Recogn, 39, 1918–1931, 2006.
N. Eagle, A. Pentland, Eigenbehaviors: Identifying structure in routine, in Proc. of Ubicomp’06, 2006.
D.J. Cook, Prediction algorithms for smart environments, in Smart Environments: Technologies, Protocols, and Applications, edited by D.J. Cook and S.K. Das, Wiley Series on Parallel and Distributed Computing, 2005, pp. 175–192, Wiley, New York.
S.Z. Li, et al., Illumination invariant face recognition using near-infrared images. IEEE-T-PAMI (Special issue on Biometrics: Progress and Directions), 29(4):627–39, April 2007.
ISO/IEC 7501-1 Identification cards – Machine readable travel documents – Part 1: Machine readable passports
ISO/IEC 19794-2 Information Technology – Biometric Data Interchange Formats – Part 2: Finger Minutiae Data.
ISO/IEC 19794-5 Information Technology – Biometric Data Interchange Formats – Part 5: Face Image Data.
M. Rejman-Greene, Privacy issues in the application of biometrics: A european perspective in biometric systems, In Biometric Systems, edited by J. Wayman, A. Jain, D. Maltoni and D. Maio, Springer, New York, 2004.
B. Schouten, B. Jacobs, Biometrics and their use in e-Passports, Image and Vision Computing (IMAVIS), Special Issue on Multimodal Biometrics, Elsevier Publishers, 2008. To appear.
J.P. Linnartz, P. Tuyls, New shielding functions to enhance privacy and prevent misuse of biometric templates, in Proc. AVBPA 2003, pp. 393–402, LNCS 2688, Springer-Verlag, Berlin, Heidelberg, 2003.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag London Limited
About this chapter
Cite this chapter
Li, S.Z., Schouten, B., Tistarelli, M. (2009). Biometrics at a Distance: Issues, Challenges, and Prospects. In: Tistarelli, M., Li, S.Z., Chellappa, R. (eds) Handbook of Remote Biometrics. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84882-385-3_1
Download citation
DOI: https://doi.org/10.1007/978-1-84882-385-3_1
Publisher Name: Springer, London
Print ISBN: 978-1-84882-384-6
Online ISBN: 978-1-84882-385-3
eBook Packages: Computer ScienceComputer Science (R0)