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Video-Surveillance and Biometry

Name of the Curricular Unit: Video-Surveillance and Biometry

Lecturer: Jorge Batista  ( 


Biometrics is the study of automated methods for the identification or authentication of individuals using biological characteristics (e.g. fingerprint, face, and iris images). Biometrics technology as well as video surveillance methods has the potential to solve key security challenges associated with information systems. 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. Topics: 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 (multibiometrics). New trends in biometrics

Evaluation method: 

The course concepts consist of two parts: the first one when regular lectures will be given by lectures, and in the second one consisting of readings, seminar- presentations, and projects. In the second half, 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. The grading will be based on the student's performance in class participation, paper presentation, and the research project. Specifically: Class participation:20 %, Paper presentation:30 %, Project:50 %.