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Al-Rifaie on BBC

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AISB Convention 2015

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Yasemin Erden on BBC

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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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 event Bulletin Item

CFP: VS2007 International Workshop on Visual Surveillance

Call for Papers
The Seventh IEEE International Workshop on Visual Surveillance
Friday 22nd June 2007, Minneapolis

Dear Colleague	

This year the IEEE International Workshop on Visual Surveillance will be
held in conjunction with CVPR in Minneapolis on Friday 22nd June 2007. 	

Despite the extraordinary progress in real-time processing of CCTV image
streams, there are a number of significant methodological challenges
which must be met if automatic interpretation systems are to be
effective. These challenges include segmenting and tracking individuals
in crowded scenes; the ability to characterize threat; reducing the
number of false alarms; automatic learning of human-oriented scene
structure; and semantic linkage between networks of cameras and other
sensors. To address these challenges, contributions are particular
welcome in the following areas: 	

*	Background and environment modelling
*	Object tracking and classification
*	Behaviour analysis and recognition
*	Biometric identification
*	Image sequence classification
*	Image database annotation and searching
*	Wide area surveillance
*	Camera networks and data fusion
*	Camera calibration
*	Performance evaluation

Important Dates	

Submission of 8-page paper	 Friday  16th March 2007  (This date
will be horribly strict!)	
Notification to authors	  	 Tuesday 10th April 2007	
Submission of Camera Ready	 Monday  23rd April 2007  (Note only two


Prof Graeme A. Jones
Co-Chair VS2007
Digital Imaging Research Centre
Kingston University