Video-Vigilance and Biometrics

Recommended Prerequisites

NA

Teaching Methods

Teaching consists of two parts: the first part includes theoretical lectures, and the second one consists of readings, seminar- presentations, and projects. In the second part, students will be required to present papers in class and to give progress reports on their projects. There will be several research papers that each student is expected to read, and students will be expected to participate actively in both the lecture and paper discussions. At the end of the semester, each student/team will present their project.

Learning Outcomes

Biometrics is the study of automated methods for the identification or authentication of individuals using biological characteristics (e.g. fingerprint, face, and iris images). This course explores the underlying technology, use, issues, and potential of biometrics and video surveillance for identification and authentication. The selected topics provide an overview of the use of biometrics for identification with an emphasis on its role in information security.

Through the course the students should develop competencies on:

- knowledge about the state-of art of Biometry and Video-Surveillance.

- the capability to select a suitable algorithm/system for a given application context (e.g. physical access control)

- a good understanding of the complex relationships between biometric systems and environmental conditions and their impact on biometric performance.

- the capability to assess the security properties of a biometric system.

Work Placement(s)

No

Syllabus

Video surveillance – introduction. Video acquisition systems and video quality improvement. Motion detection techniques and object tracking. Recognition humans and their activities in video. Intelligent surveillance techniques.

Introduction to biometrics. Biometric systems based on fingerprint recognition. Biometric systems based on iris recognition. Face identification and localization in images. Retina recognition methods. Human identification based on gait. Fusion in biometrics (multi-biometrics). New trends in biometrics.

Assessment Methods

Assessment
Class participation: 20.0%
Paper presentation: 30.0%
Project: 50.0%

Bibliography

[1] John D. Woodward Jr., et al (2002) Biometrics, McGrow-Hill Osborne Media 1st edition.

[2] A. K. Jain, P. Flynn, A. Ross, (2007) "Handbook of Biometrics", Springer.

[3] A. Ross, K. Nandakumar and A.K. Jain, (2006) Handbook of Multibiometrics, Springer Verlag.

[4] A.K. Jain, R. Bolle and S. Pankanti (Eds.), (1999) BIOMETRICS: Personal Identification in Networked society, Kluwer Academic Publishers

[5] Y. Ma, G. Qian (eds.), (2010) Intelligent Video Surveillance- Systems and Technology, CRC Press.

[6] Selected papers of State-of-Art in Video Surveillance and Biometry