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The Machine Vision Applications Journal

Special Issue on

Novel Concepts and Challenges for the Generation of Video Surveillance Systems

Call for Papers

Aims and Scope

The monitoring of public and private spaces has crime. Video surveillance is one of the most common limits its current state of the art. A large number complex monitoring of private and public spaces. claim robustness and reliability for limited scenarios: limited fault tolerance and small variability of scenes. techniques that work 24/7 and, ideally, for even longer to assess the robustness and the reliability of the employed algorithms that can adapt to internal and external intervention. We would like to read of video surveillance that works!

Full papers are invited on all aspects related to the exclusive, list of the most relevant topics follows:

  • Complex scene surveillance using heterogeneous camera systems (semi/quarter spherical mirrors, mobile and fixed cameras, etc.)
  • Robust machine vision algorithms (beyond 24/7 operation under variable conditions, object tracking, multicamera algorithms, behaviour analysis and learning, etc.)
  • Gesture and posture analysis and recognition
  • Real-time inferring semantics from pixel information from a large network of sensors
  • Information fusion techniques for event association and automatic alarm generation
  • New methods for learning and modeling unusual events
  • Crowd analysis and modeling of people dynamics in private and public spaces
  • Large video database mining, event oriented indexation (MPEG7)
  • 3-D Visualization and Human Interactivity Modules
  • Performance evaluation (especially in operational conditions) of crowd monitoring systems

Key Dates

1 November 2005
Receipt of full papers (following the MVA formatting instructions at http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-149-70-1009251-0,00.html).

1 March 2006
Notification of acceptance

1 June 2006
Receipt of camera-ready papers

Contact

For more information on the issue do not hesitate to contact any of the guest editors:

Guest Editors

Dr Paolo Remagnino, Dr Sergio Velastin
Digital Imaging Research Centre, Kingston University, UK, p.remagnino@kingston.ac.uk

Prof. GianLuca Foresti
Artificial and Real-Time Systems Laboratory, University of Udine, IT, foresti@dimi.uniud.it

Prof. Mohan Trivedi
Computer Vision and Robotics Research Laboratory, UC San Diego, USA, mtrivedi@ucsd.edu

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