Resultados Subproyecto 1

REVISTAS INDEXADAS EN ISI JCR:

  1. Álvarez, J.R., Mira, J., De la Paz, F. & Cuadra, J.M. (2007). Centre of area method as basic mechanism for representation and navigation in situated robotics. Robotics and Autonomous Systems, Vol. 55 ( 12), pp. 860-869

  2. Carmona, E.J., Martínez-Cantos, J. & Mira, J. (2008). A new video segmentation method of mobile objects based on blob-level knowledge. Pattern Recognition Letters, Vol. 29(3), pp. 272-285.

  3. Carmona, E.J., Rincón, M., Bachiller, M., Martínez-Cantos, J., Martínez-Tomás, R. & Mira, J. (2009). On the Effect of Feedback in Multilevel Representation Spaces for Visual Surveillance Tasks. Neurocomputing, Vol. 72 (4-6), pp. 916-927.

  4. Cuadra Troncoso, J.M., Álvarez Sánchez , J.R. & de la Paz López, F. (2009). Discretized ISO-learning neural network for obstacle avoidance in reactive robot controllers. Neurocomputing, Vol, 72 , pp. 861–870

  5. Fernández-Caballero A., López M.T., Mira J., Delgado A.E., López-Valles J.M. & Fernández M.A. (2007). Modelling the stereovision-correspondence-analysis task by lateral inhibition in accumulative computation problem-solving method. Expert Systems with Applications, 33 (4), pp. 955-967.

  6. López ,M.T., Fernández-Caballero, A., Mira, J., Delgado, A.E. & Fernández, M.A. (2006). Algorithmic lateral inhibition method in dynamic and selective visual attention task: Application to moving objects detection and labelling. Expert Systems with Applications, 31 (3), pp. 570-594.

  7. López M.T., Fernández-Caballero A., Fernández M.A., Mira J. & Delgado A.E. (2006). Motion features to enhance scene segmentation in active visual attention. Pattern Recognition Letters, 27 (5), pp. 469-478.

  8. López M.T., Fernández-Caballero A., Fernández M.A., Mira J. & Delgado A.E. (2006). Visual surveillance by dynamic visual attention method. Pattern Recognition, 39 (11), pp. 2194-2211.

  9. López M.T., Fernández M.A., Fernández-Caballero A., Mira J. & Delgado A.E. (2007). Dynamic visual attention model in image sequences. Image and Vision Computing, 25 (5), pp. 596-613.

  10. Martínez-Cantos, J., Carmona, E.J., Fernández, A. & López, M.T. (2008). Parametric improvement of lateral

    11. interaction in accumulative computation in motion-based segmentation. Neurocomputing, Vol. 71(4-6), pp. 776-786.

  11. Martínez-Tomás R., Rincón M., Bachiller M. & Mira J. (2007). On the correspondence between objects and events for the diagnosis of situations in visual surveillance tasks. Pattern Recognition Letters. Vol 29 (8), pp. 1117-1135

  12. Mira, J. & Delgado, A. E. (2007). On how a comprehensive view of the computational paradigm can help us to model and interpret the neural function at different levels. Natural Computing, 6, pp 211-240.

  13. Mira, J., Delgado, A.E., López, M.T., Fernández-Caballero, A. & Fernández, M.A. (2008). A Conceptual Frame with two neural mechanisms to model selective visual attention processes. Neurocomputing 71, pp. 704-720.

  14. Mira, J. & Delgado, A. E. (2009). Sensory representation spaces in neuroscience and computation.

    15. Neurocomputing, 72 (4-6), pp. 793-805

  15. Pantrigo, J.J., Sánchez, A. & Mira, J. (2008). On knowledge modelling of the Visual Tracking task. Expert Systems with Applications, Vol. 35, ( 1-2), pp. 69-81.

  16. Pantrigo, J.J., Sánchez, A. & Mira, J. (2009). Representation spaces in a visual-based human action recognition system. Neurocomputing, Volume 72 (4-6), pp. 901-915.

LNCS/LNAI (Springer):

  1. Álvarez, J.R., de la Paz, F. & Mira J. (2005). A robotics inspired method of modeling accessible open space to help blind people in the orientation and traveling tasks. In J. Mira and J.R. Álvarez (Eds.), Mechanisms, Symbols, and Models Underlying Cognition. LNCS 3561, pp. 405-415. Springer.

  2. Cuadra Troncoso, J. M., Álvarez Sánchez, J. R., & de la Paz López, F. (2007). Discretization of ISO-Learning and ICO-Learning to Be Included into Reactive Neural Networks for a Robotics Simulator. In J. Mira and J.R. Álvarez (Eds.), Nature inspired Problem-Solving Methods in Knowledge Engineering. Vol. 4528, pp. 367–378.

  3. Fernández, M.A. López-Valles, J.M., Fernández-Caballero, A., López, M.T., Mira, J. & Delgado, A.E. (2005). Permanency memories in scene depth analysis. In: R. Moreno-Díaz, F. Pichler, A. Quesada Arencibia (eds.), Computer Aided Systems Theory - LNCS, 3643, pp. 531-536. Springer.

  4. Fernández-Caballero, A., López, M.T., Fernández, M.A., Mira, J., Delgado, A.E. & López-Valles, J.M. (2004). Accumulative computation method for motion features extraction in active selective visual attention. In: L. Paletta, J. K. Tsotsos, E. Rome, G.W. Humphreys (eds.), Attention and Performance in Computational Vision. LNCS, 3368, pp. 206-215. Springer.

  5. Fernández-Caballero, A., Mira, J., Delgado, A.E., Fernández, M.A. & López, M.T. (2005). Lateral interaction in accumulative computation: Motion-based grouping method. In: M. De Gregorio, V. Di Maio, M. Frucci and C. Musio (eds.), Brain, Vision and Artificial Intelligence. LNCS, 3704, pp. 399-408. Springer.

  6. Folgado, E., Rincón, M. Álvarez, J.R. & Mira. J. (2007) A Multi-robot Surveillance System Simulated in Gazebo. Lecture Notes in Computer Science, Nature Inspired Problem-Solving Methods in Knowledge Engineering. Vol 4528, pp. 202-211

  7. López, M.T., Fernández-Caballero, A., Fernández, M.A. & Delgado, A.E. (2005). Sensitivity from short-term memory vs. stability from long-term memory in visual attention method. In: J. Mira, J.R. Álvarez (eds.), Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. LNCS, 3562, pp. 448-457. Springer.

  8. López, M.T., Fernández-Caballero, A., Fernández, M.A., Mira, J. & Delgado, A.E. (2007). Algorithmic Lateral Inhibition Formal Model for Real-Time Motion Detection. In Moreno-Díaz et al (eds): Lecture Notes in Computer Science, Computer Aided Systems Theory. Vol 4739, pp 638-645.

  9. López-Valles, J.M., Fernández, M.A., Fernández-Caballero, A., López, M.T., Mira, J. & Delgado, A.E. (2005). Motion-based stereovision model with potential utility in robot navigation. In: M. Ali, F. Esposito (eds.), Innovations in Applied Artificial Intelligence. LNAI, 3533, pp. 16-25..

  10. Mira, J. (2006) On Some of the Neural Mechanisms Underlying Adaptive Behavior. In: E. Corchado et al. (Eds.): Lecture Notes in Computer Science, Intelligent Data Engineering and Automated Learning. Vol 4224 pp. 1–15.

  11. Mira, J., Martínez-Tomás, R., Bachiller, M. & Fernández-Caballero, A. (2007) Towards a Semi-automatic Situation Diagnosis System in Surveillance Tasks In J. Mira and J.R. ´Alvarez (Eds.): Lecture Notes in Computer Science, Nature Inspired Problem-Solving Methods in Knowledge Engineering. Vol. 4528, pp. 90–98.

  12. Mira, J., Delgado, A.E., Fernández-Caballero, A., López, M.T. & Fernández, M.A. (2007). The Underlying Formal Model of Algorithmic Lateral Inhibition in Motion Detection. In J. Mira and J.R. ´Alvarez (Eds.): Lecture Notes in Computer Science, Nature Inspired Problem-Solving Methods in Knowledge Engineering. Vol 4528, pp. 119–129,

  13. Rincón, M., Carmona, E.J., Bachiller, M. & Folgado, E. (2007). Segmentation of Moving Objects with Information Feedback Between Description Levels. In: J. Mira and J.R. Álvarez (eds.), Nature Inspired Problem-Solving Methods in Knowledge Engineering, LNCS-4528, Springer-Verlag, pp. 171-181.

LIBROS, CAPÍTULOS DE LIBROS Y MONOGRAFÍAS

  1. J. Mira & J. R. Álvarez (Eds.). “Mechanisms, Symbols, and Models Underlying Cognition”. LNCS 3561. Springer, 2005.

  2. J. Mira & J.R. Álvarez (Eds.). “Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach”. LNCS 3562. Springer, 2005.

  3. J. Mira & J.R. Álvarez (eds.), “Bio-inspired Modeling of Cognitive Tasks”, LNCS-4527, Springer-Verlag, 2007.

  4. J. Mira & J.R. Álvarez (eds.), “Nature Inspired Problem-Solving Methods in Knowledge Engineering”, LNCS-4528, Springer-Verlag, 2007.

CONFERENCIAS EN CONGRESOS, SIMPOSIOS Y REUNIONES (POR INVITACIÓN)

  1. Álvarez J.R., Mira J. & De la Paz F. (2006). El método del centro de áreas como mecanismo básico de representación y navegación en robótica situada. Campus Multidisciplinary in Perception and Intelligence, CMPI-2006, 10-14 July 2006, Albacete (Spain), pp 103-117.

  2. Álvarez J.R., Mira J. & De la Paz F. (2006). Reflexiones sobre la utilización de robots autónomos en tareas de vigilancia. Campus Multidisciplinary in Perception and Intelligence, CMPI-2006, 10-14 July 2006, Albacete (Spain), pp. 322-331.

  3. Bachiller, M., Martínez-Tomás, R., Mira, J. & Rincón, R. Niveles de descripción para la interpretación de secuencias de vídeo en tareas en vigilancia. Congreso Internacional: 50 años de IA, (Campus Multidisciplinar en Percepción e Inteligencia), CMPI-2006, 10-14 July 2006, Albacete (Spain).

  4. Carmona, E., Martínez-Cantos, J. & Mira, J. Posprocesamiento morfológico adaptativo basado en algoritmos genéticos y orientado a la detección robusta de humanos. Congreso Internacional: 50 años de IA, (Campus Multidisciplinar en Percepción e Inteligencia), CMPI-2006, 10-14 July 2006, Albacete (Spain).

  5. Fernández, M.A., López-Valles, J.M., Fernández-Caballero, A., López, M.T., Mira. J. & Delgado, A.E. (2005).

    6. Permanency effect in scene depth analysis. Cast and Tools for Robotics, Vehicular and Communications Systems. Tenth International Conference on Computer Aided Systems Theory, EUROCAST 2005, 7-11 February 2005, Las Palmas de Gran Canaria (Spain), pp. 261-264.

  6. López M.T., Fernández-Caballero A., Fernández M.A., Mira J. & Delgado A.E. (2007). Real-time motion detection from ALI model. Eleventh International Conference on Computer Aided Systems Theory, EUROCAST 2007, 12-16 February 2007, Las Palmas de Gran Canaria (Spain).

  7. López, M.T., Mira, J., Delgado, A.E. & Fernández-Caballero, A. Implementation of real-time algorithmic lateral inhibition modules for moving objects detection. En evaluación, SAMOS VI: Embedded Computer Systems: Architectures, Modeling, and Simulation.

  8. Martínez-Cantos J., Carmona E., Fernández-Caballero A. & López M.T. (2006). Mejora paramétrica de la interacción lateral en computación acumulativa. Campus Multidisciplinary in Perception and Intelligence, CMPI-2006, 10-14 July 2006, Albacete (Spain), pp.262-273.

  9. Mira, J. & Delgado, A.E. (2004). From modeling with words to computing with numbers. Proceedings of the IEEE 4th International Conference on Intelligent Systems Design and Application. Plenary Lecture.

  10. Mira, J., Delgado A.E. (2005). On the cybernetics roots of current artificial intelligence paradigms.

    11. BIOCOMP-05. Decembre 12-16. Vietri SM. Italy.

  11. Mira J., Delgado A.E., López M.T., Fernández-Caballero A. & Fernández M.A. (2006). Una arquitectura bioinspirada para el modelado computacional de los mecanismos de atención visual selectiva. Campus Multidisciplinary in Perception and Intelligence, CMPI-2006, 10-14 July 2006, Albacete (Spain), pp. 425-437.

  12. Mira, J. & Fernández-Caballero, A. (2007). AVISA: A semi-automatic situation diagnosis system in surveillance tasks based in selective and Active VISual Attention with learning capacity techniques. Jornadas de Seguimiento de Proyectos en Tecnologías Informáticas, jspTIN 2007, 15-16 Febrero 2007, Móstoles (España).

  13. Taboada, M., Mira, ,J. & Des, J. Una aproximación incremental para adquisición y modelado de conocimiento sobre diagnosis en medicina. Congreso Internacional: 50 años de IA, (Campus Multidisciplinar en Percepción e Inteligencia), CMPI-2006, 10-14 July 2006, Albacete (Spain).

PATENTES Y OTROS TÍTULOS DE PROPIEDAD INDUSTRIAL

  1. M. Rincón, E. Folgado, E. Carmona y M. Bachiller. Procedimiento para describir el comportamiento geométrico de humanos en una escena captada por un sistema de visión artificial, basado en un modelo de bloques y, en especial, orientado a la tarea de video-vigilancia. Patente N. de solicitud: P200603272. País de prioridad: España. 27/12/2006. Entidad titular: UNED.