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AISB miscellaneous Bulletin Item

CFP: IJPRAI special issue on Visual Analysis and Understanding for Surveillance Applications

International Journal of Pattern Recognition and Artificial Intelligence
Special Issue On
Video Analysis and Understanding for Surveillance Applications

International Journal of Pattern Recognition and Artificial Intelligence 
is seeking original high-quality manuscripts for a Special Issue on 
Video Analysis and Understanding for Surveillance Applications, 
scheduled for publication in 2009.

With the ubiquitous presence of low-cost cameras, video-based smart 
surveillance has been one of the most popular topics in the computer 
vision, pattern recognition and image understanding communities. The 
significance of this research is strongly driven by the immediate 
demands of real-world security monitoring systems for commercial, 
industrial and military applications. Visual surveillance has played a 
leading role in reducing the personal and financial costs of preventing 
crimes and terrorism, while automatic video understanding enables 
intelligent, real-time, and precise solution to smart surveillance systems.

In recent years, video analysis and understanding has been featured in 
leading international journals and conferences. Although there has been 
great progress over past few years, there are a number of significant 
challenges involving the understanding, designing, building, and 
evaluating the complex video analysis systems. These challenges include 
robust segmentation and tracking objects in complex scenes, the ability 
to characterize a threat event, semantic linkage between camera networks 
and other sensors, unconstrained activity recognition and behavioural 
profiling, view-invariance of motion features, abnormal event detection, 
etc. Therefore, more advanced solutions to these challenging problems 
need to be exploited for meeting emerging application needs.

This special issue is particularly interested in new advances in video 
analysis and understanding techniques for surveillance applications. We 
are soliciting original contributions of researchers and practitioners 
from academia as well as industry, which address a wide range of 
theoretical and application issues. The topics of interest include, but 
are not limited to:

o   Background and environment modelling
o    Moving object segmentation and classification
o    Tracking of object motion and interaction 
o    Motion feature extraction and representation
o    Activity modelling and recognition
o    Behaviour analysis and understanding
o    Abnormal event detection and recognition
o    Video-based biometric identification
o    Extraction of semantics from video
o    Perception and modelling of user and context
o    Surveillance video annotation and searching
o    Wide area surveillance
o    Camera networks and data fusion
o    Visual system design and performance evaluation
o    Other related aspects

Submission procedure:
Manuscript should conform to the standard guidelines of the 
International Journal of Pattern Recognition and Artificial Intelligence 
(IJPRAI). Instructions for formatting papers can be found in the 
Guidelines for Contributors. Prospective authors should submit an 
electronic copy of their complete manuscript via IJPRAI online 
submission system by Jun 1, 2008. The submissions must not have been 
previously published and must not be currently submitted for publication 
elsewhere. All submitted papers will be reviewed by at least two 
independent reviewers.

Important Dates:
o    Full manuscript submission due:  Jun. 1, 2008
o    First notification:  Sep. 1, 2008
o    Revised manuscript submission due: Nov. 1, 2008
o    Notification of final decision: Dec. 1, 2008
o    Final manuscript submission due: Jan. 1, 2009
o    Publication of special issue:  2nd or 3rd Quarter 2009

Guest Editors
Dr. Liang Wang (
The University of Melbourne, Australia.

Dr. Qiang Wu (
University of Technology, Sydney, Australia.

Dr. Ming Li (
Deakin University, Australia.
Dr. Jordi Gonzlez (
Institut de Robtica i Informtica Industrial (UPC-CSIC), Barcelona 
08028, Catalonia, Spain

Dr. Xin Geng (
Deakin University, Australia.