All students must validate 30 ECTS per semester.We offer two speciality tracks:

Track 1: Vision and Applications
The first track focuses on various applications of computer vision: biomedical applications, people detection, object tracking, computational photography.

Track 2: Vision and devices
The second track focuses on devices to capture images (intelligent sensors, medical imaging systems) and to visualise and interact with them (augmented reality)




Course name: People detection and biometric recognition Credits: 6



Course objectives

This subject will describe the basic technologies behind automatic and semi-automatic person recognition, verification, and identification based on biometric signals or images captured from the physiology or the behavior of the people. The first unit of the subject will focus on people detection on images and video sequences, including the most important challenges and its solutions. The second unit of the signature will be focused on specific technologies for different biometric modalities such as fingerprint, face, or iris images; with practical applications in the areas of security and forensic science.

Course contents

Both Units are divided into the following topics:

1. People detection in image/video

1.1. Introduction to people detection is video sequences

1.2. People detection systems

1.3. Critical factors and current solutions

1.4. Performance evaluation

2. Biometric Recognition

2.1. Face recognition

2.2. Fingerprint recognition

2.3. Iris recognition

2.4. Signature/handwriting recognition

2.5. Speaker recognition

2.6. Fusion in Biometrics

2.7. Forensic Biometrics


Course bibliography

  • S.A. Velastin, P. Remagnino, “Intelligent Distributed Video Surveillance Systems”, IET, 2006
  • O. Javed, M. Shah, "Automated Multi-camera Surveillance: Algorithms and Practice", Springer 2008
  • E. Maggio, A. Cavallaro, “Video Tracking: Theory and Practice”, Wiley, 2011.
  • Selected papers in relevant journals and conferences for topics covered in the course
  • Pradeep K. Atrey, Mohan S. Kankanhalli, Andrea Cavallaro, "Intelligent Multimedia Surveillance: Current Trends and Research", Springer 2013
  • Introduction to Biometrics, A. K. Jain, Arun A. Ross, and Karthik Nandakumar, Spinger, 2011.
  • Handbook of Biometrics, A. K. Jain, Patrick J. Flynn, and Arun A. Ross (Eds.), Springer, 2010.
  • Handbook of Fingerprint Recognition, Davide Maltoni, Dario Maio, Anil K. Jain, and Salil Prabhakar, Springer, 2009.


Coursework and Evaluation

The course involves lectures and laboratory sessions. It involves two theoretical evaluations (one per module, TE-1 and TE-2) and two evaluations of the practical work (one per module, PR-1 and PR-2).

In both the ordinary and the extraordinary exam period it is necessary to have a pass grade (≥ 5) in all the theoretical evaluations (TE-1 and TE-2), and positive evaluations of the laboratory work (PR-1 and PR-2).

In the ordinary exam period, the evaluation will be made according to the following scheme:

•  60% exam (mean of TE-1 and TE-2; minimum grade: 5 in both).

•  40% laboratory work (mean of PR-1 and PR-2 minimum grade: 5 in both). This part has to be passed before the end of the ordinary exam period unless a truly justified reason exists, otherwise the subject will be failed also in the extraordinary exam period.

The grades of the individual parts are kept for the extraordinary exam period.


Faculty data

Lecturers and labs:

Dr. Alvaro Garcia-Martin (Coordinator)

Departamento de Tecnología Electrónica y de las Comunicaciones

Escuela Politécnica Superior. Despacho: C-209

Tel.: +34  91 4973429

e-mail: alvaro.garcia


Dr. Julian Fierrez-Aguilar

Departamento de Tecnología Electrónica y de las Comunicaciones

Escuela Politécnica Superior. Despacho: C-206 

Tel.: +34  914976205

e-mail: julian.fierrez


The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken abroad by mobile students through the transfer credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.