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Eighth International Workshop on

Visual Surveillance 2008

Friday October 17th, Marseille

Call for Papers

Research into intelligent visual surveillance technologies has become one of the core problem areas of the computer vision research community. The field enjoys well-funded national and international funding programmes and boasts a plethora of start-up companies offering a wide range of intelligent CCTV products. Yet, despite the apparent success, the core problems remain as complex and varied as any in computer vision. The deployment of truly intelligent and robust surveillance systems face a number of specific challenges including the segmentation and tracking of individuals in crowded scenes; extracting body pose; characterization of threats; reduction in false alarm rates; automatic learning of human-oriented scene structure; and the semantic linkage between networks of cameras and other sensors. To address these challenges, contributions are particularly welcome in the following areas:
  • Background and environment modelling
  • Object tracking and classification
  • Behaviour analysis and recognition
  • Image database annotation and searching
  • Event and activity modelling
  • Analysis of groups and crowds
  • Multi-Camera and multi-sensor calibration
  • Performance evaluation
  • Image-based sensor networks
  • PTZ networks

People

Chairs Tieniu Tan, National Lab of Pattern Recognition, China
Steve Maybank, Birkbeck College, United Kingdom
Dimitrios Makris, Kingston University, UK
Workshop Organiser Graeme Jones, Kingston University, United Kingdom
Programme Committee Francois Bremond, INRIA Sophia-Antipolis Research Unit, France
Lisa Brown, IBM T.J. Watson Research Center, US
Andrea Cavallaro, Queen Mary, University of London, UK
Rama Chellappa, University of Maryland, US
Patrick Courtney, PerkinElmer Life and Analytical Sciences, UK
Rita Cucchiara, Università degli Studi di Modena, ITALIA
Roy Davies, Royal Holloway, University of London, UK
Hannah Dee, University of Leeds, UK
Tim Ellis, Kingston University, UK
James Ferryman, The University of Reading, UK
GianLuca Foresti, University of Udine, Italy
Xiang Gao, Siemens Corporate Research, USA
Shaogang Gong, Queen Mary University London, UK
Feng Guo, ObjectVideo, Inc., U.S.A
R. Ismail Haritaoglu, Polar Rain Inc, USA
Janne Heikkila, Dept. of Electrical Engineering, Finland
Wei Ming Hu, NLPR, China
Kaiqi Huang, Institute of Automation CAS, China
Graeme Jones, Kingston University, United Kingdom
Peihua Li, Hei Long Jiang University, China
Stan Li, National Laboratory of Pattern Recogniti, China
Xuelong Li, Birkbeck College, University of London, UK
Dimitrios Makris, Kingston University, UK
Steve Maybank, Birkbeck College, United Kingdom
Jerome Meessen, Multitel, Belgium
Anurag Mittal, Indian Institute of Technology Madras, US
James Orwell, Kingston University, UK
Vasudev Parameswaran, Siemens Corporate Research, USA
Arthur Pece, Heimdall Vision, Denmark
Federico Pernici, Università di Firenze, Italy
Justus Piater, Université de Liège, Belgium
Massimo Piccardi, University of Technology, Sydney, Australia
Carlo Regazzoni, University of Genoa, Italy
Paolo Remagnino, Kingston University, UK
Gerhard Rigoll, Munich University of Technology, Germany
Gerald Schaefer, Aston University, UK
Stan Sclaroff, Boston University, US
Vinay Shet, Siemens Corporate Research, USA
Nils T Siebel, Christian-Albrechts-University of Kiel, Germany
Tieniu Tan, National Lab of Pattern Recognition, China
Dacheng Tao, Birkbeck College, UK
Stefano Tubaro, Politecnico di Milano, Italy
David Tweed, Computer Science, Reading University, England
Sergio Velastin, Kingston University, UK
Ramesh Visvanathan, Siemens Corporate Research, US
Wei Yun Yau, Nanyang Technological University, Singapore
Tao Zhao, Intuitive Surgical Inc, USA