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Professor Paolo Remagnino

Professor in the School of Computing and Information Systems at Kingston University.

Areas of expertise

Find out more about Professor Paolo Remagnino

Overview

Paolo Remagnino is a Professor in the School of Computing and Information Systems of the Faculty of Science, Engineering and Computing at Kingston University. He is a researcher in image and video understanding and one of the main promoters of intelligent and autonomous environments.

His research interests include image processing, computer vision, machine learning, artificial intelligence and robotics. He has published more than 130 papers in scientific journals and conferences and is the editor of four book collections, published with Springer, in the field of video surveillance and ambient intelligence. He is on the editorial board of a number of international journals in his field.  

A particular area of interest for Dr Remagnino is how to improve the quality of life for elderly people. This could range from providing smart robot systems they could operate in their own home to help with a range of simple tasks, from guiding them to the sofa or operating the light system, to more complex tasks requiring dexterity.

He is also working on a project aimed at providing ICT-based solutions to improve the everyday situation for elderly and/or vulnerable people living in their own homes, and the informal caregivers who go in to help them.  This is relevant today more than ever, since it is estimated that family carers provide some 80% of long term care to dependent older people in Europe, and that family care breakdown leads to expensive hospitalisation and/or people moving into care homes.

This second initiative would allow for the elderly person and carer to keep in regular and constant touch via an easy-to-operate ICT-based system, which other care-giving agencies could also access. Clearly the security and privacy issues would be of paramount importance.

 

Qualifications

Year gained Subject
1993 PhD in Computer Vision, University of Surrey.
1988 Laurea Diploma (Masters equivalent), Universita degli Studi di Genova, Italy.

Career Highlights

Year Position held
2012 Professor, Kingston University, Faculty of Science, Engineering and Computing.
2006 - 2012 Reader, Kingston University.
1998 - 2006 Senior lecturer, Kingston University.
1995 - 1998 Post-doctoral fellowhip, University of Reading.
1993 - 1995 Researcher, INRIA, Rhone Alpes, France.
1993 Research Fellow, University of Surrey.
1989 - 1993 Doctoral research, University of Surrey.
1989 Researcher, Universita degli Studi di Genova, Italy.

Research

Published and forth-coming papers:

M. Thida, H-L. Eng, D.N. Monekosso and P. Remagnino, A Particle Swam Optimization Algorithm with Interactive Swarms for tracking multiple Targets, Applied Soft Computing Journal: Special Issue on Swarm Intelligence in Image and Video Processing, (to appear, 2012).

R. Grech, D.N. Monekosso and P. Remagnino, Building Visual Memories of Video Streams, IET Electronics Letters, (to appear, 2012)

M. Thida, H-L. Eng, D.N. Monekosso and P. Remagnino, Learning Video manifolds for Content Analysis of Crowded Scenes, Information Processing Society of Japan Journal, 53(5), pp. 1234-1241, 2012.

J.S. Cope, D. Corney, J.Y. Clark, P. Remagnino, P. Wilkin, Plant Species Identification using Digital Morphometrics: a Review, Expert Systems With Applications, 39(8), pp. 7562-7573, 2012.

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).

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.

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.

D.N.Monekosso and P.Remagnino, "Behaviour Analysis for Assisted Living", in IEEE Transactions on Automation, Science and Engineering, 7(4):879-886, 2010.

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.

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.

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.

R. Mullen, N.D. Monekosso, S .A. Barman, P. Remagnino, "Artificial Ants: A review" in 'Expert Systems with Applications, 36(6):9608-9617, 2009.

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.

P.Remagnino and D.Shapiro, Editorial on Artificial Intelligence Methods for Ambient Intelligence. Computational Intelligence, 23(4):393-394. 2007.

D.N.Monekosso and P.Remagnino, Monitoring Behavior with and Array of Sensors. Computational Intelligence, 23(4):420-438, 2007.

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.

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.

P.Remagnino, N.Monekosso and Y.Kuno, Ambient Intelligence, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 18(1):67, 2006.

P.Remagnino, G.L.Foresti and R.Cucchiara, Second Workshop on Ambient Intelligence, Intelligenza Artificiale, Anno II(2):10, 2005.

P. Remagnino, G. Foresti. Ambient Intelligence: a Multi-Disciplinary Approach. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 35(1):1-6, 2005.

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.

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.

P. Remagnino, G. Foresti. Ambient Intelligence, Theory and Applications. Intelligenza Artificiale, Anno I(1):5, 2004.

N.D. Monekosso, P. Remagnino. The Analysis And Performance Evaluation of the Pheromone Q-Learning Algorithm. Expert Systems, 21(2):80-91, 2004.

P. Remagnino, A.I. Shihab, G.A. Jones. Distributed Intelligence for Multi-Camera Visual Surveillance. Pattern Recognition. 37(4):675-689. 2004.

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.

P. Remagnino, N.D. Monekosso, O. Hatoum, Y. Halabi. Reinforcement Learning to Explore, Exploit and Communicate. Intelligenza Artificiale, Anno I(2):19-22, 2002.

J. Orwell, P. Remagnino, G.A. Jones. Optimal Color Quantization for Real-time Object Recognition. Real Time Imaging, 7(5):401-414, 2001.

P. Remagnino, T. Tan, K. Baker. Multi-agent visual surveillance of dynamic scenes. Image and Vision Computing, 16(8):529-532, 1998.

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.

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.

Published and Forthcoming book monographs and collections:

P.Remagnino, J.Cope, P.Wilkin, D. Kirkup and S. Mayo, Computational Botany, Springer, to appear in 2013.

P.Remagnino, D.N.Monekosso and L.Jain, Intelligent paradigms in security, Springer, 2011.

D.N.Monekosso, P.Remagnino and Y.Kuno, Intelligent environments: methods, algorithms and applications. Springer, 2009.

P.Remagnino, G.L.Foresti, T.J. Ellis. Ambient Intelligence a Novel Approach. Springer, 2005.

S.A.Velastin and P.Remagnino. Intelligent Distributed Surveillance Systems. The Institution of Electrical Engineers (IEE), 2005.

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:

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.

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

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.

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.

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.

D.N.Monekosso and P.Remagnino. Anomalous Behavior Detection: Supporting Independent Living. Intelligent environments: methods, algorithms and applications. Springer, pp.33-48, 2009.

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.

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.

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.

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.

N.D. Monekosso, P. Remagnino.  Design of Intelligent Multi-Agent Systems. Chapter A Collective Can Do Better, pp. 215-238. Springer, 2004.

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.

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.

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.

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.

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.

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.

 J. Matas, P. Remagnino, J. Kittler, J. Illingworth. Vision as Process. Chapter Control of Scene Interpretation, pp. 347-373. Springer, 1995.

Conference Highlights

Professor Remagnino is a seasoned conference presenter, as well as having organised a number of international conferences.

Professional Body Membership

  • EPRSC college, since 2012
  • American Association of Artificial Intelligence, Member since 1998
  • IEEE, Associate Member, since 1998 (Institute of Electrical and Electronics Engineers).

Academic Accolades

  • Honorary Research Associate with the Royal Botanic Gardens, Kew, 2010
  • EPSRC Discipline Hopping, collaboration with the Royal Botanic Gardens, Kew, 2009
  • Royal Academy of Engineering global award, duration six months, 2006/2007
  • Sabbatical period at INRIA, Sophia Antipolis, duration two months, 2005.
  • Kingston University Fellowship, duration two months, 2005
  • European Community Human and Capital Mobility, Co-operation of Visual Perception and Motion Planning, duration (1993-1994).

Major Research Collaborations

Professor Remagnino has worked on numerous collaborative projects with a host of outside organisations, including the:

University of Malaya

University of Nevada

University of Ulster

Sapienza University of Rome

University of Surrey

Royal Botanic Gardens in Kew

The Leverhulme Trust

European Office of Aerospace Research and Development

US Department of Homeland Security

 

 

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Contact us

General enquiries:

Journalists only:

  • Communications team
    Tel: +44 (0)20 8417 3034
    Email us
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