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James Ferryman
University of Reading
Membership Number: 47
Address: Department of Computer Science, School of Systems Engineering, The University of Reading, Whitenights, Reading RG6 6AY, United Kingdom
Email: j.m.ferryman@reading.ac.uk
Phone: +44 118 378 6697
Fax: +44 118 975 1822
URL: http://www.cvg.cs.rdg.ac.uk/~jmf

Biographical Sketch
Dr Ferryman's research interests include model-based methods for people and traffic monitoring, human-computer interaction, multimodal interfaces, ‘smart’ cameras, performance evaluation and robotics and autonomous systems. Dr Ferrymans PhD was under funded the EPSRC Context-based Vision project (GR/J86322) and contributed to the Integrated Machine Vision (IMV) project - Model Based Visual Surveillance (GR/K46620/01). He was an investigator on the Intelligent Cruise Control and Collision Alert for Vehicles (SECURE) project (LSF/E00143) with partners DERA, Lucas Industries and Jaguar, and an investigator on a DTI/LINK project (GR/M97101/01) on vehicle classification. He was joint investigator on two EC Framework V proposals: ADVISOR (IST-1999-11287) on people tracking in metro stations, and ANFAS on modelling flood risks (IST-1999-11676), and is principal investigator on EC Framework VI projects SAFEE and AVITRACK. James is a principal academic investigator with the Knowledge Transfer Partnership (KTP) Programme (two projects) and is an expert for the EU Face and Gesture Recognition Working Group (FGnet) and for EU PCCV (Performance Characterisation of Computer Vision). He is also the coordinator of a new EPSRC network on Video-based Threat Assessment and Biometrics (ViTAB). Dr Ferryman is a reviewer for Image and Vision Computing Journal, PAMI, the IEEE, and the Robotics and Autonomous Systems Journal. In 2003, James was awarded the Honeywell Prize for best journal paper published in Measurement and Control. He was the Programme Chair for the 8th International Symposium on Intelligent Robotic Systems, and co-chair of the IEEE International Workshops on Performance Evaluation of Tracking and Surveillance in 2000, 2001 and 2003, and for the IEEE Joint International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS) in 2003. James is an external examiner for several Universities and is a reviewer for the EU Sixth Framework IST Programme. He is currently serving as a member of the Executive Committee of the British Machine Vision Association.

University of Reading (Ambient Pervasive Intelligence (API) Research Group incorporating the Computational Vision Group)
The Computational Vision Group (CVG) at the University of Reading is a leading research group in Europe in the area of computer vision, and has been carrying out leading edge research in model based computer vision and visual surveillance for 16 years. The main theme is to develop a methodology for extracting from image sequences information about the nature of the scene, recognising the sizes and shapes of the objects in the scene, and learning and reasoning about the objects’ movements and interactions, including behaviour analysis. The work is funded by grants from the EU, UK research councils and industry. The CVG was most recently a partner in the Framework V project ADVISOR (IST-1999-11287) on the visual surveillance of people in Metro stations and the Framework V project ANFAS (IST-1999-11676), working on the construction of 3D terrain models from remotely sensed data.


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