Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


Al-Rifaie on BBC

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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


Mark Bishop on BBC ...

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AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...



AISB miscellaneous Bulletin Item

CfP - Special Issue on Video Tracking in Complex Scenes for Surveillance Applications, EURASIP - JIVP

Call for Papers
Special Issue on Video Tracking in Complex Scenes for Surveillance Applications
EURASIP Journal on Image and Video Processing

Tracking moving objects is one of the basic tasks performed by surveillance systems. The target current position and its movement are relevant information to fulfill several applications as activity analysis, objects counting, identification, stolen object detection, and so forth. Many tracking algorithms have been applied for surveillance applications. However when the scene/situation is complex, the performances relevantly decrease affecting consequently further surveillance functionalities.

In this domain of applications, the complexity of a perceived scene/situation can present multiple aspects as, just to
give some examples:
 high number of distracting moving targets
 multisensor video setup
 static and dynamic nonstationary occlusions
 24-hour all-weathers outdoor functioning
 complex backgrounds

This special issue is oriented to provide a self-contained framework to address recent research results towards novel methods proposed in recent years to improve object tracking performances in complex scenes; in particular a (nonrestrictive) list of relevant topics follows, which can be addressed in the proposed contributions:
 Bayesian method for conjunctive multitarget tracking
 kernel-based method for multitarget tracking
 feature-based algorithm for multitarget tracking
 feature selection for tracking
 collaborative trackers
 online tracking parameters regulation
 definition of metrics for evaluating the complexity of the scene/situation
 definition of metrics for evaluating the performance of multitarget trackers

Authors should follow the EURASIP Journal on Image and Video Processing manuscript format described at the journal site Prospective authors should submit an electronic copy of their complete manuscripts through the journal Manuscript Tracking System at, according to the following timetable:

Manuscript Due November 1, 2007
First Round of Reviews February 1, 2008
Publication Date May 1, 2008

Guest Editors:

Andrea Cavallaro, Department of Electronic Engineering,
Queen Mary, University of London, London E1 4NS, United Kingdom;

Fatih Porikli, Mitsubishi Electric Research Laboratories
(MERL), Mitsubishi Electric Corporation, Cambridge, MA 02139, USA;

Carlo S. Regazzoni, Department of Biophysical and
Electronic Engineering, University of Genova, 16145 Genova, Italy;