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Notice

AISB event Bulletin Item

CFP: VS2008 The Eighth IEEE International Workshop on Visual Surveillance

dircweb.king.ac.uk/vs2008/home.htm

VS2008 - The Eighth IEEE International Workshop on Visual Surveillance

                     Friday 17th October 2008
                               in
                       Marseille, France

                 (Held in conjunction with ECCV)

                Submission Deadline 6th June 2008


VS2008 Website: dircweb.king.ac.uk/vs2008/home.htm


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

 
IMPORTANT DATES

Submission of full papers   Friday June 6th 2008 (Horribly strict!)
Notification to authors     Friday July 18th 2008
Submission of Camera Ready  Friday August 15th 2008


CHAIRS

Tieniu Tan, National Lab of Pattern Recognition, China
Steve Maybank, Birkbeck College, United Kingdom
Dimitrios Makris, Kingston University, UK