Paolo Remagnino

JOURNALS

  1. R. Mullen, S A Barman, P. Remagnino, D. N. Monekosso, “Towards autonomous robot swarms for multi-target localisation and monitoring with applications to counter IED operations” in ‘International Journal of Intelligent Defence Support Systems’, 4(1) Inderscience Publishers, January, pp. 87-107, (2011).
  2. M.M. Fraz, S.A. barman, P.Remagnino, A. Hoppe, B. Uyyanonvara, A. Basit, A.R. Rudnicka, C.J. Owen, An Approach to localize retinal blood vessels using bit planes and centerline detection, in Computer Methods and Programs in Biomedicine, 2011, to appear.
  3. J.Albusac, D.Vallejo, J.J. Castro-Schez, P.Remagnino, C.Glez-Morcillo, L.Jimenez, A Knowledge-Driven Approach based on Intelligent Agents to Monitor Complex Environments, in IEEE Intelligent Systems, 25(3):24-31, 2010.
  4. D.N.Monekosso and P.Remagnino, “Behaviour Analysis for Assisted Living”, to appear in IEEE Transactions on Automation, Science and Engineering, 7(4):879-886, 2010.
  5. D.N.Monekosso and P.Remagnino , “Discovering Patterns of Behavior in a Smart Home” in Journal of Digital Information Management, 7(6):365-370, 2009.
  6. P.Remagnino, G.L.Foresti and S.A.Velastin. Editorial of the special issue on Computer Vision methods for Ambient Intelligence. Image and Vision Computing, 27(10):1419-1420, 2009.
  7. P.Remagnino, D.N.Monekosso, M.Trivedi, Y.Kuno and H-L. Eng, Editorial of the special issue on Automation and Engineering for Ambient Intelligence, IEEE Transactions on Automation Science and  Engineering, 6(4):573-576, 2009.
  8. R. Mullen, N.D. Monekosso, S .A. Barman, P. Remagnino, ”Artificial Ants: A review” in ‘Expert Systems with Applications, 36(6):9608-9617, 2009.
  9. B.Zhan, D.N.Monekosso, P.Remagnino, S.Velastin and L-Q.Xu, Crowd Analysis: A Survey. Machine Vision and Applications. 19(5):345-357. 2008.
  10. P.Remagnino and D.Shapiro, Editorial on Artificial Intelligence Methods for Ambient Intelligence. Computational Intelligence, 23(4):393-394. 2007.
  11. D.N.Monekosso and P.Remagnino, Monitoring Behavior with and Array of Sensors. Computational Intelligence, 23(4):420-438, 2007.
  12. P.Remagnino, A.Prati, G-L. Foresti and R. Cucchiara, Expert environments: machine intelligence methods for ambient intelligence. Expert Systems, 24(5):293-294, 2007.
  13. P.Remagnino, S.A.Velastin, G-L. Foresti and M. Trivedi, Novel Concepts and challenges for the next generation of video surveillance, Machine Vision and Applications, 18(3-4):135-137, 2007.
  14. P.Remagnino, N.Monekosso and Y.Kuno, Ambient Intelligence, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 18(1):67, 2006.
  15. P.Remagnino, G.L.Foresti and R.Cucchiara, Second Workshop on Ambient Intelligence, Intelligenza Artificiale, Anno II(2):10, 2005.
  16. P. Remagnino, G. Foresti. Ambient Intelligence: a Multi-Disciplinary Approach. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 35(1):1-6, 2005.
  17. G. Foresti, L. Snidaro, P. Remagnino, T.J. Ellis. Advanced Image and Video Processing in Active Video-Based Surveillance Systems. IEEE Signal Processing Magazine, 22(2):25-37, 2005.
  18. A. Szarowicz, J. Francik, M. Mittmann, P. Remagnino. Layering and Heterogeneity as Design Principles for Animated Embedded Agents. International Journal of Information Sciences, 171(4):355-376, 2005.
  19. P. Remagnino, G. Foresti. Ambient Intelligence, Theory and Applications. Intelligenza Artificiale, Anno I(1):5, 2004.
  20. N.D. Monekosso, P. Remagnino. The Analysis And Performance Evaluation of the Pheromone Q-Learning Algorithm. Expert Systems, 21(2):80-91, 2004.
  21. P. Remagnino, A.I. Shihab, G.A. Jones. Distributed Intelligence for Multi-Camera Visual Surveillance. Pattern Recognition. 37(4):675-689. 2004.
  22. J.R. Renno, P. Remagnino, G.A. Jones. Learning Surveillance Tracking Models for the Self-Calibrated Ground Plane. Acta Automatica Sinica, 29(3):381-392, 2003.
  23. P. Remagnino, N.D. Monekosso, O. Hatoum, Y. Halabi. Reinforcement Learning to Explore, Exploit and Communicate. Intelligenza Artificiale, Anno I(2):19-22, 2002.
  24. J. Orwell, P. Remagnino, G.A. Jones. Optimal Color Quantization for Real-time Object Recognition. Real Time Imaging, 7(5):401-414, 2001.
  25. P. Remagnino, T. Tan, K. Baker. Multi-agent visual surveillance of dynamic scenes. Image and Vision Computing, 16(8):529-532, 1998.
  26. G.D. Sullivan, K. Baker, A.D. Worrall, C.I. Attwood, P. Remagnino. Model-based vehicle detection and classification using orthographic approximations. Image and Vision Computing, 15(8):649-654, 1997.
  27. P. Remagnino, J. Illingworth, J. Kittler, J. Matas. Intentional control of camera look direction and viewpoint in an active vision system. Image and Vision Computing, 13(2):79-88, 1995.

CONFERENCES & WORKSHOPS

  1. T. A. Ramrekha, C. Politis and P. Remagnino, “A Novel Ubiquitous Cooperative Communication Platform (NEOCOP) for Future Emergency Management Systems” in 27th Wireless World Research Forum (WWRF) meeting, A new convergence framework CLOUD, PIPE and DEVICE over Mobile Broadband, WWRF, Dusseldorf, Germany, Oct 18-20 2011, to appear
  2. L. Iocchi, D. N. Monekosso, D. Nardi, M. Nicolescu, P. Remagnino, M. Valera Espina. “Smart Monitoring of Complex Public Scenes. Collaboration between human guards, security network and robotic platforms”. Robot-Human Teamwork in Dynamic Adverse Environment. AAAI Fall Symposium series, pp. 14-19, 2011.
  3. M.M Fraz, P. Remagnino, A. Hoppe, S.A. Velastin, S A Barman, “A Supervised Method for Segmentation of Blood Vessels in Retinal Images”, 2011 IEEE International Conference on Signal and Image Processing Applications, 2011 to appear
  4. M.M Fraz, A Basit, P. Remagnino, A. Hoppe, S A Barman, Retinal Vasculature Segmentation by Morphological Curvature, Reconstruction and Adapted Hysteresis Thresholding, IEEE International Conference on Emerging Technologies, pp. 88-93, 2011.
  5. M.M Fraz, P. Remagnino, A. Hoppe, B Uyyanonvara, S A Barman, Retinal Vessels Segmentation using First-order Derivative of Gaussian and Morphological Bitplanes, in International Symposium on Visual Computing, pp. 410-420, 2011.
  6. T. Beghin, J.S. Cope, P. Remagnino and S. Barman, Shape and texture based plant leaf classification. In: Advanced Concepts for Intelligent Visual Systems, pp. 345-353, 2010.
  7. J.S. Cope, P. Remagnino, S. Barman and P.Wilkin, The extraction of venation from leaf images by evolved vein classifiers and ant colony algorithms. In: Advanced Concepts for Intelligent Visual Systems, pp.135-144, 2010.
  8. M. Thida, H.-L. Eng, D.N. Monekosso and P. Remagnino, Learning video manifold for segmenting crowd events and abnormality detection. In: Tenth Asian Conference on Computer Vision, pp. 439-449, 2010.
  9. Mullen, Robert, Monekosso, Dorothy, Barman, Sarah and Remagnino, Paolo (2010) Reactive coordination and adaptive lattice formation in mobile robotic surveillance swarms. In: 10th International Symposium on Distributed Autonomous Robotics Systems; 1 Nov – 3 Nov 2010, Lausanne, Switzerland.
  10. R. Grech, D.N. Monekosso, D. de Jager and P. Remagnino A vision-based system for object identification and information retrieval in a smart home. In Proceedings of the International Joint Conference on Ambient Intelligence, pp. 239-247, 2010.
  11. D.N. Monekosso and P. Remagnino, Synthetic training data generation for activity monitoring and behavior analysis. In Proceedings of the European Conference on Ambient Intelligence, 267-275, 2009.
  12. M.A. Realpe, B.X. Vintimilla, D.G. Romero and P. Remagnino, Análisis de Comportamiento Humano: Metodología para Localización y Seguimiento de Personas en Secuencias de Video’. In: Octava Conferencia Iberoamericana enSistemas, Cibernética e Informática (CISCI), 2009.
  13. Monekosso, Dorothy and Remagnino, Paolo (2009) Synthetic training data generation for ADL modeling. In: 4th Workshop on Artificial Intelligence Techniques for Ambient Intelligence, pp. 137-144,2009.
  14. Vallejo, David, Remagnino, Paolo, Monekosso, Dorothy N., Jimenez, Luis and Gonzales, Carlos (2009) A multi-agent architecture for multi-robot surveillance. In: First International Conference on Computational Collective Intelligence – Semantic Web, Social Networks & Multiagent Systems (ICCCI), pp. 266-278, 2009.
  15. D.Bloisi, P.Remagnino, N.D.Monekosso, L.I. Iocchi, “A Novel Segmentaion Method for Crowded Scenes”, VISAPP, Portugal, pp.484-489, (2009)
  16. R.Mullen, N.D.Monekosso, P. Wilkin, S.A. Barman, P.Remagnino, “Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns”, ANTS 2008. Sixth International Conference on. Ant Colony Optimization and Swarm Intelligence, September, Brussels, Belgium, pp. 251-258, (2008)
  17. B.Zhan, P.Remagnino, N.D.Monekosso, S.A.Velastin, “Self-Organizing Maps for the Automatic Interpretation of Crowd”, International Symposium on Visual Computing (ISVC), Dec., Las Vegas, pp. 440-449, (2008)
  18. H Ragheb, S.A.Velastin, P.Remagnino, T.Ellis, “A Novel Approach for Fast Action Recognition using Simple Features”, The Eighth IEEE International Workshop on Visual Surveillance VS2008, October 17, Marseille, France, 2008).
  19. H Ragheb S.A.Velastin, P.Remagnino, T.Ellis, “ViHASi: Virtual Human Action Silhouette Data for the Performance Evaluation of Silhouette-Based Action Recognition Methods”, 1st ACM International Workshop on Vision Networks for Behaviour Analysis (ACM Int’l Conf. on Multimedia), October 31, Vancouver, Canada, pp. 77-84, 2008.
  20. H Ragheb, S.A.Velastin, P.Remagnino, T.Ellis “ViHASi: Virtual Human Action Silhouette Data for the Performance Evaluation of Silhouette-Based Action Recognition Methods”, Workshop on Activity Monitoring by Multi-Camera Surveillance Systems (ACM/IEEE Int’l Conf. on Distributed Smart Cameras), September 11, Stanford University, California, USA, pp. 1-10, 2008.
  21. H Ragheb, S.A.Velastin, P.Remagnino, T.Ellis, “Human Action Recognition using Robust Power Spectrum Features”, IEEE International Conference of Image Processing, October 12-15, San Diego, California, USA, pp. 753-756, 2008.
  22. B. Zhan, P.Remagnino, D.N.Monekosso, S.A.Velastin and L-Q. Xu, A quantitative comparison of two new motion estimation algorithms, International Symposium on Visual Computing, pp.424-431, 2007.
  23. B. Zhan, N.D. Monekosso, T Rukhsana, P. Remagnino, Y Kuno, A Mansur, “Skin Patches Trajectories as Scene Dynamics Descriptors”, IAPR Conference on Machine Vision Applications 2007, May, pp. 315-318, 2007.
  24. Zhan, P. Remagnino, S.A. Velastin, F. Bremond, M Thonnat, “Matching gradient descriptors with Topological Constraints to characterise the Crowd dynamics”, IET Visual Information Engineering 2006, IET, September, pp. 441-445, 2006.
  25. B. Zhan, P. Remagnino, L Xu, S.A. Velastin, N.D. Monekosso, “Motion Estimation with Edge Continuity Constraint for Crowd Scene Analysis”, International Symposium on Visual Computing , pp. 861-869, 2006.
  26. B. Zhan, P. Remagnino, S.A. Velastin, “Analysing Crowd Intelligence”, Second AIxIA Workshop on Ambient Intelligence, September, Milan, Italy, (2005)
  27. B. Zhan, P. Remagnino, S.A. Velastin. Visual Analysis of Crowded Pedestrian Scenes. XLIII Congresso Annuale AICA, pp. 549-555, 2005.
  28. B. Zhan, P. Remagnino, S.A. Velastin. Mining paths of complex crowd scenes. Advances in Visual Computing: First International Symposium, pp. 126-133, 2005.
  29. N.D. Monekosso, P. Remagnino, F.J. Ferri. Learning Machines for Chance Discovery. First European Workshop on Chance Discovery, at the European Conference on Artificial Intelligence, pp. 84-93, 2004.
  30. A. Szarowicz, P. Remagnino. Avatars That Learn How to Behave. In European Conference on Artificial Intelligence, pp. 554-558, 2004.
  31. P. Remagnino, N.D. Monekosso, G. Foresti, L. Snidaro. Coupling multi-view dynamics with mixtures of Gaussians. In Proceedings of the International Conference on Information Fusion, pp. 734-740, 2003.
  32. N.D. Monekosso, P. Remagnino. Robot Exploration using the Expectation-Maximisation Algorithm. In Proceedings of the International Symposium on Computational Intelligence in Robotics and Automation, pp. 407-411, 2003.
  33. P. Remagnino, G. Foresti, N.D. Monekosso. Coarse to fine scene understanding first steps towards an Ambient Intelligent System. In Proceedings of the Workshop on Ambient Intelligence AIxIA, pp. 109 -116, 2003.
  34. A. Szarowicz, M. Mittmann, P. Remagnino, J. Francik. Automatic Acquisition of Actions for Animated Agents. In Proceedings of the European Conference on Simulation and Artificial Intelligence in Computer Games, pp. 170-174, 2003.
  35. G.A. Jones, J.R. Renno, P. Remagnino. Auto-Calibration in Multiple-Camera Surveillance Environments. In Proceedings on the Third IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 40-47, 2002.
  36. N.D. Monekosso, P. Remagnino. An analysis of the Pheromone Q-Learning algorithm. In Proceedings of the VIII IberoAmerican Conference on Artificial Intelligence, pp. 224-232, 2002.
  37. P. Remagnino, G.A. Jones. Automated Registration of Surveillance Data for Multi-Camera Fusion. In Proceedings of the IEEE International Conference on Information, pp. 1190-1197, 2002.
  38. N.D. Monekosso, P. Remagnino. Q-Learning augmented with synthetic pheromones. In Proceeding of Second International Workshop of Central and Eastern Europe on Multi-Agent Systems, pp. 173-180, 2001.
  39. N.D. Monekosso, P. Remagnino. Phe-Q: A pheromone based Q-Learning. In Proceedings of the 14th Australian Joint Conference on Artificial Intelligence, pp. 345-355, 2001.
  40. P. Remagnino, G.A. Jones, N.D. Monekosso. Reasoning about Dynamic Scenes using Autonomous Agents. In Proceedings of 7th Italian Association Conference on Artificial Intelligence, pp. 201-211, 2001.
  41. P. Remagnino, G.A. Jones. Classifying Surveillance Events from Attributes and Behaviour. In Proceedings of the British Machine Vision Conference. pp. 685-694, 2001.
  42. J Gutierrez, I Epifanio, P. Remagnino, G.A. Jones, F.J. Ferri. Multi-event tracking with the CONDENSATION algorithm. In Proceedings of the Actas del IX SNRFAI, pp. 85-90, 2001.
  43. A. Szarowicz, J. Amiguet Vercher, P. Forte, J.H. Briggs, P. Gelepithis, P. Remagnino. The Application of AI to Automatically Generated Animation. In Proceedings of the 14th Australian Joint Conference on Artificial Intelligence, pp. 487-494, 2001.
  44. L. Marchesotti, P. Remagnino, G.A. Jones. Evaluating Centralised and Distributed Multi-Agent Architectures for Visual Surveillance Applications. In Proceedings of the European Signal Processing Conference, pp.2157-2160, 2000.
  45. P. Remagnino. Situated and Ubiquitous Behaviours: layers of abstraction for scene understanding. In Proceedings of International Conference on Artificial Intelligence and Soft Computing, pp. 234-239, 2000.
  46. P. Forte, J. Hall, P. Remagnino, P. Honey. VScape: Autonomous Intelligent Behaviour in Virtual Worlds using UML. In Proceedings of the ACM SIGGRAPH, pp. 277, 2000.
  47. J. Orwell, P. Remagnino, G.A. Jones. From Connected Components to Object Sequences. In Proceedings of the First IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 72-79, 2000.
  48. N.D. Monekosso, P. Remagnino. A multi-agent system to learn spacecraft resource management. In Proceedings of 6th Conference of the Associazione Italiana per l’Intelligenza Artificiale, pp. 39-48, 1999.
  49. J. Orwell, P. Remagnino, G.A. Jones. Object Coding for Increased Frame Rates. In Proceedings of the Workshop on Image Analysis for Multimedia Interactive Services, pp. 101-104, 1999.
  50. N.D. Monekosso, P. Remagnino. Autonomous Spacecraft Resource management: a multi-agent approach. In Proceedings of the Conference of the Associazione Italiana per l’Intelligenza Artificiale, pp. 297-308, 1999.
  51. J. Orwell, S. Massey, P. Remagnino, D. Greenhill, G.A. Jones. A Multi-Agent Framework for Visual Surveillance. In Proceedings of the International Conference on Image Analysis and Processing, pp. 1104-1107, 1999.
  52. J. Orwell, P. Remagnino, G.A. Jones. Multi-Camera Colour Tracking. In Proceedings of the IEEE International Workshop on Visual Surveillance, pp. 14-21, 1999.
  53. P. Remagnino, J. Orwell, G.A. Jones. Visual Interpretation of People and Vehicle Behaviours using a Society of Agents. In Proceedings of the Conference of the Italian Association on Artificial Intelligence, pp. 333-342, 1999.
  54. P. Remagnino, J. Orwell, G.A. Jones. Multi-agent Scene Interpretation. In Proceedings of the Conference of the Associazione Italiana per Intelligenza Artificiale, pp. 309-320, 1999.
  55. P. Remagnino, T. Tan, K. Baker. Agent Orientated Annotation in Model Based Visual Surveillance. In Proceedings of the International Conference in Computer Vision, pp. 857-862, 1998.
  56. P. Remagnino, A. Baumberg, T. Grove, D. Hogg, T. Tan, A.D. Worrall, K. Baker. An Integrated Traffic and Pedestrian Model-based Vision System. In Proceedings of the British Machine Vision Conference, pp. 380-389, 1997.
  57. N.D. Monekosso, P. Remagnino. Automated reasoning On-Board Autonomous Spacecraft. In Proceedings of the 5th Conference of the Italian Association for Artificial Intelligence, pp. 290-301, 1997.
  58. Z.D. Lan, R. Mohr, P. Remagnino. Robust matching by partial correlation. In Proceedings of the British Machine Vision Conference, pp. 651-660, 1996.
  59. P. Remagnino, P. Brand, R. Mohr. Correlation techniques in adaptive template matching with uncalibrated cameras. In Proceedings of the International Symposium on Photonics for Industrial Applications (Vision Geometry III), pp. 252-263, 1994.
  60. P. Remagnino, J. Matas, J. Kittler, J. Illingworth. A scene interpretation module for an active vision system. In Proceedings of the SPIE Conference on Intelligent Robots and Comp. Vision, XII: Active Vision and 3D Methods, pp. 98-107, 1993.
  61. P. Remagnino, M. Bober, J. Kittler. Learning about a scene using an active vision system. In Proceedings of the AAAI Fall Symposium on Machine Learning in Computer Vision: What, Why and How?, pp. 45-49, 1993.
  62. M. Bober, P. Hoad, J. Matas, P. Remagnino, J. Kittler, J. Illingworth. Control of Perception in an Active Vision System: Sensing and Interpretation. IN Proceedings of the Intelligent Robotics Systems Conference, pp. 258-276, 1993.
  63. P. Remagnino, J. Kittler, J. Matas, J. Illingworth. Control in the bootstrap phase of a computer vision system. In Proceedings of the 4th International Conference on Image Processing and its Applications, pp. 85-88, 1992.
  64. P. Remagnino, J. Matas, J. Kittler, J. Illingworth. On computing the next look camera parameters in Active Vision. In Proceedings of the European Conference in Artificial Intelligence, pp. 806-807, 1992.

BOOK MONOGRAPHS AND COLLECTIONS

  1. P. Remagnino, J. Cope, P.Wilkin, D. Kirkup and S. Mayo, Computational Botany, Springer, to appear in 2013.
  2. P. Remagnino, D.N.Monekosso and L.Jain, Intelligent paradigms in security, Springer, 2011.
  3. D.N. Monekosso, P.Remagnino and Y.Kuno, Intelligent environments: methods, algorithms and applications. Springer, 2009.
  4. P. Remagnino, G.L.Foresti, T.J. Ellis. Ambient Intelligence a Novel Approach. Springer, 2005.
  5. S.A.Velastin and P.Remagnino. Intelligent Distributed Surveillance Systems. The Institution of Electrical Engineers (IEE), 2005.
  6. P. Remagnino, G.A. Jones, N. Paragios, C.S. Regazzoni. Video-Based Surveillance Systems – Computer Vision and Distributed Processing. Kluwer Academic Publishers, 2002.
    Published and Forthcoming Book Chapters
  7. P. Sourtzinos, D. Makris and P. Remagnino, Highly accurate estimation of pedestrian speed profiles from video sequences, in Innovations in Defence Support Systems – 3: Intelligent Paradigms in Security, P. Remagnino, D.N. Monekosso and L.C. Jain. Berlin, Springer, pp. 71-81, 2011.
  8. C. King, M. Valera Espina, R. Grech, R. Mullen, P. Remagnino, L. I. Iocchi, L Marchetti, D Nardi, D. N. Monekosso, Mircea Nicolescu, Multi-Robot and Multi-Camera Patrolling in Handbook on Soft Computing for Video Surveillance, S.K. Pal, A. Petrosino and L. Maddalena, Taylor & Francis, to appear, 2011
  9. M. Valera Espina, R. Grech, D. de Jager, P. Remagnino, L. Iocchi, D.N. Monekosso, M. Nicolescu and C. King, Multi-robot teams for environmental monitoring, in Innovations in Defence Support Systems-3. Intelligent Paradigms in Security, P. Remagnino, D.N. Monekosso and L.C. Jain editors, Springer, pp. 183-210, 2011.
  10. J.S. Cope, P. Remagnino, S. Barman and P. Wilkin, Plant texture classification using Gabor co-occurrences, In Advances in Visual Computing, G. Bebis et al. editors, Springer, pp. 699-677. 2010.
  11. B. Zhan, P. Remagnino, D.N. Monekosso and S. Velastin, The Analysis of Crowd Dynamics: from Observations to Modeling. In Computational Intelligence: Collaboration, Fusion and Emergence, C. Mumford and L. Jain editors, Springer, pp. 441-474, 2009.
  12. D.N.Monekosso and P.Remagnino. Anomalous Behavior Detection: Supporting Independent Living. Intelligent environments: methods, algorithms and applications. Springer, pp.33-48, 2009.
  13. B. Zhan, D.N. Monekosso, S.Rush, P.Remagnino and S.A.Velastin. Augmenting Professional Training, an Ambient Intellgience Approach. Intelligent environments: methods, algorithms and applications. Springer, pp. 105-121, 2009.
  14. R.J. Mullen, D.N. Monekosso, S. Barman, P. Remagnino and P.Wilkin, Artificial ants to extract leaf outlines and primary venation patterns. In Ant Colony Optimization and Swarm Intelligence M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle and A.F.T.Winfield editors, Springer, pp. 251-258, 2008.
  15. C.Micheloni, L. Snidaro, G. Foresti and P. Remagnino. Ambient Intelligence: a Novel Approach. Security and Building Intelligence: From People Detection to Action Analysis, pp. 199-211. Springer, 2005.
  16. P. Remagnino, H Hagras, N.D. Monekosso, S.A. Velastin. Ambient Intelligence a Novel Approach. Ambient Intelligence a gentle introduction, pp. 1-14. Springer, 2005.
  17. N.D. Monekosso, P. Remagnino. Design of Intelligent Multi-Agent Systems. Chapter A Collective Can Do Better, pp. 215-238. Springer, 2004.
  18. J.R. Renno, P. Remagnino, G.A. Jones. Multisensor Surveillance Systems – The Fusion Perspective. Chapter Learning the Fusion of Video Data Streams: Automatic Calibration and Registration of Surveillance Cameras, pp. 61-80. Kluwer Academic Press, 2003.
  19. D. Greenhill, P. Remagnino, G.A. Jones. Video Based Surveillance Systems – Computer Vision and Distributed Processing. Chapter VIGILANT: Content-Querying of Video Surveillance Streams, pp. 193-204. Kluwer Academic Publishers, 2002.
  20. N.D. Monekosso, P. Remagnino, A. Szarowicz. From Theory to Practice in Multi-Agent Systems. Chapter An Improved Q-Learning Algorithm Using Synthetic Pheromones, pp. 197-206. Springer, 2002.
  21. P. Remagnino, J. Orwell, D. Greenhill, G.A. Jones, L. Marchesotti. Multimedia Video Based Surveillance Systems: Requirements, Issues and Solutions. Chapter An Agent Society For Scene Interpretation, pp. 108-117. Kluwer Academic Press, 2001.
  22. P. Remagnino, S. Maybank, R. Fraile, K. Baker, R. Morris. Advanced Video-based Surveillance Systems. Chapter Automatic Visual Surveillance of Vehicles and People, pp. 97-107. Kluwer Academic Press, 1999.
  23. P. Remagnino, J. Illingworth, J. Kittler, J. Matas. Vision as Process. Chapter Intentional Control of Camera Look Direction and Viewpoint in an active Vision system, pp. 403-419. Springer, 1995.
  24. J. Matas, P. Remagnino, J. Kittler, J. Illingworth. Vision as Process. Chapter Control of Scene Interpretation, pp. 347-373. Springer, 1995.

TECHNICAL REPORTS

  1. P.Remagnino, J.Illingworth, J.Kittler and J.Matas, Intentional control of Camera Look direction and View point in an active vision system, VSSSP TR-6/92, University of Surrey, November, (1992).
  2. J.Kittler, J.Illingworth, J.Matas, P.Remagnino, K.C.Wong, H.I.christensen, J.O.Eklundh, G.Olofsson and M.Li, Symbolic scene Interpretation and Control of Perception, VAP Project Document DD.G.1.3, March, (1992).
  3. P. Remagnino, J. Kittler, J. Illingworth, “Preliminary consideration of Control issues” in ‘VAP project document IR.D.1.1′, 5, University of Surrey, (1990).
  4. P. Remagnino, “Control of Scene Interpretation in Computer Vision” in ‘Transfer Report VSSP TR-14/90′, 10, University of Surrey, (1990).
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