Computer Vision for Airport Security and Biometrics

  • ABC GATES FOR EUROPE (ABC4EU).

    Funded by: Comisión Europea. VII Programa Marco

    Participating institutions: Universidad Rey Juan Carlos, INDRA, Price Waterhouse Coopers, Vision Box, Universidad de Laurea, Eticas Research and Consulting, Centre for Irish and European Security Limited, Dermalog Identification Systems GMBH, Universita degli Studi di Milano, Safe Id Solutions GMBH, Ministerio del Interior Español, Ministerio da Administracao Interna de Portugal, Politsei- ja Piirivalmeamet de Estonia, Ministerul Afacerilor Interne de Rumanía. 

    Duration,  from 01/01/2014         to: 30/06/2017

    Principal Investigator: Cristina Conde Vilda (URJC)

    Number of researchers: 70

    Web: http://www.abc4eu.eu/

  • Course on recognition and detection of human faces.

    Funded by: Faceon Systems.
    Reference 2010/00250/001, M-815 (URJC internal reference).
    Duration: 30 November 2010 - 29 January 2011.
    Principal Investigator: Dr Isaac Martín de Diego.

 

  • Biometric System for Fast Access at Frontiers (SIBAR).

    Funded by: Spanish Ministry of Industry, Tourism and Commerce, within the national plan of scientific research, development and technological innovation 2008-2011.
    Duration: July 1, 2010 - December 31, 2011.
    Participating institutions: Universidad Rey Juan Carlos, Indra Sistemas.
    Principal Investigator at URJC: Dr Enrique Cabello Pardos.

    This project focusses on the analysis and development of automatic border control systems for Spanish airports. Among the used technologies in the project, we can cite: fingerprint biometrics, face recognition, RFID, travelling documents security and digital image processing.


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  • Automatic detection of suspicious behaviour at airports.

    Funded by: Instituto Universitario de Investigación sobre Seguridad Interior (UNED).
    Duration: October 31, 2006 – October 31, 2007.
    Principal Investigator: Dr Enrique Cabello Pardos.

    Continuation of the previous project "Use of biometric systems for people recognition at airports", with the new approach to detect suspicious behaviour in these environments. An example of these potential situations of danger might be the automatic recognition of hardened criminals at airports, as well as the detection of objects and left bundles.


    More details

 

  • Algorithms, techniques and applications of virtual reality and advanced simulation (GATARVISA).

    Funded by: Ministry of Education of the Region of Madrid.
    Reference: S-0505/DPI/000235.
    Duration: January 1, 2006 – December 31, 2009.
    Principal Investigator: Dr Luis Pastor Pérez (URJC).

    This program aims to create a working group which is able to propose, plan and develope in medium- and long-term sophisticated algorithms and applications using the technologies related to Virtual Reality (VR) and Augmented Reality (AR), for manufacturing, visualization, simulation and advanced training environments.

    To do so, in the creation of this group we have tried to achieve a vertical integration of all the factors involved in the development of advanced applications of virtual and augmented reality, belonging both to the academic, business or institutional worlds. Scientific-technical goals:

    • Developing methods and algorithms that solve problems with high degree of realism and precision in real time.
    • Analysis of methods and algorithms used in VR&AR in order to determine performance constraints.
    • Optimal or efficient implementations of algorithms using parallel architectures and GPUs.
    • Exploring the incorporation of other kind of stimula (olfactory, audio improvents, etc).

 

  • Use of biometric systems for people recognition at airports.

    Funded by: Instituto Universitario de Investigación sobre Seguridad Interior (UNED).
    Duration: February 1, 2005 – February 1, 2006.
    Principal Investigator: Dr Enrique Cabello Pardos.

    A prototype of a face verification system has been tested with images obtained from the surveillance cameras of the Madrid-Barajas Airport. Some experiments were designed, grouped into two classes. In the first type, the system is trained with images obtained in laboratory conditions and then tested with images extracted from the surveillance cameras of the airport. In the second case, both the training images and the test images correspond to images extracted from Barajas. We have developed a complete system, which includes acquisition and digitalization of the images, location and clipping of the present faces, people verification and results computation. The results show that, in general, an image-based face verification system can be of great help to an airport workman who has to monitor wide zones.

    More details

 

  • Facial Recognition & Artificial Vision 2004.

    Funded by: Universidad Rey Juan Carlos.
    Reference: GVC-2004-04 (URJC internal project).
    Duration: January 1, 2005 – December 31, 2005.
    Principal Investigator: Dr Enrique Cabello Pardos.

 

  • Facial Recognition & Artificial Vision.

    Funded by: Universidad Rey Juan Carlos.
    Reference: GCO-2003-15 (URJC internal project).
    Duration: January 1, 2004 – December 31, 2004.
    Principal Investigator: Dr Enrique Cabello Pardos.

 

  • Visor Base: Distributed System for Face Recognition.

    Funded by: Universidad Rey Juan Carlos.
    Reference: PIGE-02-02 (URJC internal project).
    Duration: January 1, 2003 – December 31, 2003.
    Principal Investigator: Dr Enrique Cabello Pardos.

 

  • Open Architecture for Distributed Systems.

    Funded by: Special Action of the Spanish Ministry of Education and Science.
    Reference: TIC2000-0324-CE.
    Duration: January 1, 2000 – July 1, 2002.
    Principal Investigator: Dr Enrique Cabello Pardos.

 

  • Video Sensor Object Request Broker open Architecture for Distribute Services (VISOR BASE).

    Funded by: 5th European Union Framework Program.
    Reference: IST-1999-10808.
    Duration: January 1, 2000 – June 30, 2002.
    Principal Investigator: Dr Francisco Gómez Molinero (Visual Tools).
    Principal Investigator at URJC: Dr Enrique Cabello Pardos.

    The VISOR BASE project (Video Sensor Object Request Broker open Architecture for distributed Services) is aimed at creating VISOR, a CORBA adaptation to the requirements of digital video monitoring systems applied to the development of observation applications with artificial vision functionality, including:

    • A set of CORBA-compliant classes to define the VISOR interface.
    • A digital video object-based broker implementation.

    The study of intelligent technology such as: number plate recognition, face recognition, people tracking and smart motion detection. Such developments will allow an operator to make better and faster decisions.

    More details

 

 

 

 

  • A Gabor Wavelet Based Multichannel Approach to a Multimodal Face Verification System, Á. Serrano Sánchez de León. PhD thesis, Rey Juan Carlos University, February 2011.

 

 

 

 

  • Combination of Kernels Applied to Face Verification, I. Martín de Diego, C. Conde, Á. Serrano, E. Cabello. Proceedings of the ICIP Conference, 1241-1244, noviembre 2009, doi:10.1109/ICIP.2009.5413543.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  • Verificación facial multimodal: 2D y 3D, C. Conde Vilda. PhD thesis, Rey Juan Carlos University, May 2006.

 

 

  • More in-depth analysis of 2D LDA, H.M. Krüger, L.J. Rodríguez Aragón, C. Conde, Á. Serrano, E. Cabello. Working papers 2006/03, Rey Juan Carlos University Press, February 2006.

 

 

 

 

 

 

 

  • VISOR-compliant Face Verification Video Sensor, Á. Serrano Sánchez de León, S. Mata Fernández, A. Ruiz Mayor, C. Conde, L.J. Rodríguez Aragón, L. Pastor Pérez, E. Cabello. Working papers 2004/3, Rey Juan Carlos University Press, August 2004.

 

 

 

 

 

 

 

 

 

Face verification system.

Patent number: ES 2 296 443 B1.
Owners: Universidad Rey Juan Carlos (80%), Universidad Politécnica de Madrid (20%).
Inventors: Antonio Ruiz Mayor, Enrique Cabello Pardos, Luis Pastor Pérez, Cristina Conde Vilda, Susana Mata Fernández.
Application date: April 15, 2005.
Grand date: February 10, 2009.
Publication date in the Official Bulletin of the Industrial Property (BOPI): March 1, 2009.
Patent classification: G06K 9/00, G06Q 20/00, H04L 29/06, H04L 9/32.

The invention consists in a system for the detection and verification of identity by means of facial features. The problem of human face verification can be summarized as the task to check if a given name corresponds to an observed face, by using only facial features and without other elements (such as voice, fingerprints, signature, DNA, etc.).

 

 


 

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