AISB convention 2017

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Harold Cohen

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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


Connection Science

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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;