Biography

Marcos del Pozo Baños received his M.Sc. degree in Telecommunication Engineering and his M.Sc. degree in Intelligent Systems and Numerical Applications in Engineering in 2010 from Universidad de Las Palmas de Gran Canaria. He is now pursuing his Ph.D. degree with the thesis named “The Identity of the Brain: EEG Subject Discriminant Information”. His research interests are focused on neuroscience, biometrics, artificial intelligence, patter recognition and machine learning. He has received the grand “Programa Innova Canarias 2020” from ULPGC for the applied research of face biometric recognition systems for the hotel industry. He has more than 20 scientific articles published in international journals and conferences as well as book chapters.

Publications

Journals

C.M. Travieso, M. del Pozo-Baños, and J.B. Alonso. Fused intra-bimodal face verification approach based on scale-invariant feature transform and a vocabulary tree. Pattern Recognition Letters , In press, August 2013a. ISSN 0167-8655 [Download]

J.R. Ticay-Rivas, M. del Pozo-Baños, W.G. Eberhard, J.B. Alonso, and C.M. Travieso. Spider specie identification and verification based on pattern recognition of it cobweb. Expert Systems with Applications, 40(10):4213– 4225, August 2013b. ISSN 0957-4174. [Download]

C.M. Travieso, J.B. Alonso, M. del Pozo-Baños, J.R. Ticay-Rivas, and K. Lopez-de Ipiña. Automatic apnea identification by transformation of the cepstral domain. Cognitive Computation, 4(3):1–8, September 2012. doi: 10.1007/s12559-012-9184-x. [Download]

C.M. Travieso, M. del Pozo-Baños, M.A. Ferrer, and J.B. Alonso. Reducing features using discriminative common vectors. Cognitive Computation, 2(3):160–164, September 2010. doi: 10.1007/s12559-010-9059-y. [Download]

Book chapters

Jaime R. Ticay-Rivas, Carlos M. Travieso, Marcos del Pozo-Baños, and William G. Eberhard. Study of the Discriminate Information on Spider Webs , pages 95–114. Nova Publisher, June 2013a. ISBN 978-1-62618-517-3. [Download]

C.M. Travieso, M. Pozo-Baños, and J.B. Alonso. Comparison between Thermal and Visible Facial Features on a Verification Approach, volume 357 of Communications in Computer and Information Science , pages 298–308. Springer Berlin Heidelberg, 2013b. ISBN 978-3-642-38255-0. [Download]

J.R. Ticay-Rivas, M. del Pozo-Baños, M.A. Gutiérrez-Ramos, W.G. Eberhard, C.M. Travieso-González, J.B. Alonso, and M. Ramírez-Bogantes. Biodiversity Conservation and Utilization in a Diverse World, chapter Image Processing for Spider Classification. InTech, August 2012. ISBN 978-953-51-0719-4. [Download]

M. del Pozo-Baños, J.R. Ticay-Rivas, J. Cabrera-Falcón, J. Arroyo, C.M. Travieso-González, L. Sánchez-Chavez, S.T. Pérez, J.B. Alonso, and M. Ramírez-Bogantes. Biodiversity Enrichment in a Diverse World, chapter Image Processing for Pollen Classification. InTech, August 2012. ISBN 978-953-51-0718-7. [Download]

C.M. Travieso, M. del Pozo-Baños, and J.B. Alonso. Biometric Systems, Design and Applications, chapter Facial Identification Based on Transform Domains for Images and Videos, pages 57–76. InTech, October 2011. ISBN 978-953-307-542-6. [Download]

M. del Pozo-Baños, C.M. Travieso, J.R. Ticay-Rivas, and J.B. Alonso. Advanced Biometric Technologies, chapter A Gender Detection Approach, pages 225–245. InTech, August 2011. ISBN 978-953-307-487-0. [Download]

Conferences

J.G. Hernández-Travieso, C.M. Travieso, M. del Pozo-Baños, and J.B. Alonso. Expression detector system based on facial images. In 6th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS) , pages 411–418, February 2013. ISBN 978-989-8565-36-5.

C.M. Travieso, M. Pozo-Baños, and J.B. Alonso. Comparison between Thermal and Visible Facial Features on a Verification Approach , volume 357 of Communications in Computer and Information Science , pages 298–308. Springer Berlin Heidelberg, 2013b. ISBN 978-3-642-38255-0. doi:10.1007/978-3-642-38256-7 20. [Download]

C.M. Travieso-González, J.R. Ticay-Rivas, M. del Pozo-Baños, W.G. Eberhard, and J.B. Alonso. Improving spider recognition based on biometric web analysis. In 17th Iberoamerican Congress, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP, volume 7441 of Lecture Notes in Computer Science, pages 438–446, September 2012. ISBN 978-3-642-33274-6. [Download]

C.M. Travieso, J.B. Alonso, J.R. Ticay-Rivas, and M. del Pozo-Baños. Apnea detection based on hidden Markov model kernel. In Proceedings of the 5th international conference on Advances in nonlinear speech processing, NOLISP’11, pages 71–79, 2011. ISBN 978-3-642-25019-4. [Download]

J.R. Ticay-Rivas, M. del Pozo-Baños, C.M. Travieso, J.B. Alonso, and M.A. Ferrer. Multi-spectral information regarding face recognition. In 2011 IEEE International Carnahan Conference on Security Technology (ICCST), pages 1–9, October 2011. doi: 10.1109/CCST.2011.6095933. ISSN 1071-6572. [Download]

J.R. Ticay-Rivas, M. del Pozo-Baños, C.M. Travieso, J. Arroyo-Hernández, S.T. Pérez, J.B. Alonso, and F. Mora-Mora. Pollen classification based on geometrical, descriptors and colour features using decorrelation stretching method. In Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Part II, volume 364 of IFIP Advances in Information and Communication Technology, pages 342–349, September 2011. ISBN 978-3-642-23959-5. [Download]

C.M. Travieso, M. del Pozo-Baños, and J.R. Ticay-Rivas. Análisis de los óvalos de las vocales a y o bajo técnicas grafomátricas. In XXVI Simposio de la Unión Científica Internacional de Radio 2011 (URSI), page 83, September 2011. ISBN 978-84-933934-4-1.

J.R. Ticay-Rivas, M. del Pozo-Baños, William G. Eberhard, J.B. Alonso, and C.M. Travieso. Spider recognition by biometric web analysis. In Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II, IWINAC’11, pages 409–417, 2011. ISBN 978-3-642-21325-0. [Download]

M. del Pozo-Baños, C.M. Travieso, J.B. Alonso, and M.A. Ferrer. Gender verification system based on jade-ica - application to biometric identification system. In BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, pages 570–576, January 2011. ISBN 978-989-8425-35-5.

J. Solé-Casals, C.M. Travieso-González, M. del Pozo-Baños, and J.B. Alonso. Face detection algorithm using emd - application to biometric recognition system. In BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, pages 565–569, January 2011. ISBN 978-989-8425-35-5.

M. del Pozo-Baños, C.M. Travieso, J.B. Alonso, and M.A. Ferrer. Discriminative multi-projection vectors: Modifying the discriminative common vectors approach for face verification. In 2010 IEEE International Carnahan Conference on Security Technology (ICCST), pages 190–197, October 2010. doi: 10.1109/CCST.2010.5678716. ISSN 1071-6572. [Download]

M. del Pozo-Baños, C.M. Travieso, M.A. Ferrer, and J.B. Alonso. A gender classifier problem. In 1er Workshop de Tecnologas Multibiomtricas para la Identificacin de Personas (WTM-IP), volume 1, pages 25–29, July 2010. ISBN 978-84-693-3389-1. doi: 10.1109/CCST.2010.5678716.

M. del Pozo-Baños, C.M. Travieso, J.B. Alonso, and M.A. Ferrer. Face identification based on tv videos. In 43rd Annual 2009 International Carnahan Conference on Security Technology, pages 119–125, October 2009. doi: 10.1109/CCST.2009.5335553. [Download]

Projects

(PhD thesis) The Identity of the Mind: Electroencephalogram subject disciminant information

The genetic traits on the human electroencephalogram (EEG) have received great attention from the scientific community almost since the very beginning of the human EEG recordings by Hans Verger in 1924. This genotype-phenotype map will make a major and inexpensive tool for understand, diagnose and early diagnose many diseases, specially those affecting the brain. Mainly because a tool based on the quantitative measure of EEG properties will be closer to gene function than the traditional interpretation of cognitive tests.

EEG based subject identification is a relatively new biometric modality which finds its origins in the advances of such human genetics and clinical neurophysiology studies. Its relevance relies mainly in the prospects of high quality and robustness of such systems. Passwords will be harder to steal, as users do not need to perform any revealing action. Even if stolen, the system can be tuned to respond not to the passwords semantic meanings but to the subjects specific EEG patterns, which are extremely hard to reproduce (if not impossible). Furthermore, if a user is forced to enter their password, their high stress level could be detected by the system, forbidding the access.

Fig1. PSD from EEGs of two MZ twins (left) and two DZ twins (right). Shaded areas represent variation.

The Human Face: Biometrics and Psychology

The human face have been one of the most researched biometric characteristics of all times. Probably because of the huge amount of information carried by them: identity, emotions, age, gender, raze, etc. Moreover, faces can be recorded in the distance and even without the subject's collaboration or knowledge. These properties mean that face biometrics can by applied on a wide range of systems, from security to marketing.

Although there exist works trying to mimic the biological mechanisms for recognizing information carried by faces, the bulk of researches focuses on the practical applications of face biometrics; i.e. on increasing the performance of the state of the art systems. This research pretends to be a bridge between psychology and neuroscience studies and face biometrics. Results are expected to provide insights on which are the best approaches to design and implement these systems.

Application of Biometry for the Conservation of the Biodiversity

The conservation of biodiversity is an environmental problem that must be treated urgently. It is vital to all living forms on planet Earth and contributes to both climate-change mitigation and adaptation by using the ecosystem services that it supports. Consequently, biodiversity conservation and its sustainable management is a priority for researchers and a vital tool to face the present climate changes.

Technology can play a big part on this task. This research line focuses on the application of biometric techniques to easy the biologists' work. Some examples are the identification of spider species by their cobwebs and the identification of pollen grains.

Complex System Design Toolbox for Matlab

The Complex System Design (CSD) toolbox provides a framework to easily build complex systems using existing or self-made components. In other words, it aims to simplify the task of prototyping and testing any system, regardless of its complexity.

Its main aspects are:

• Automatic optimization of components, taking into account the dependences between components.

• Experimental analysis tools to evaluate system designs in a statistical framework.

• Library of components and a framework to easily create new components.