Call for Papers The Eleventh IEEE International Workshop on VISUAL SURVEILLANCE (VS2011) Barcelona, 13th November 2011 Held in conjunction with ICCV 2011 http://dircweb.kingston.ac.uk/vs2011 Since the first such event in 1998, the series of VS workshops has been established as an important forum to discuss computer vision techniques for visual surveillance. 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 faces 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: • Multi-camera/sensor calibration • Detection of anomalies • Object recognition and tracking in a surveillance context • Methods using weak supervision to learn environmental conditions • Analysis of behaviour and recognition • Analysis of groups and crowds • Advanced techniques for retrieval of surveillance data • Automatic control of PTZ networks using video analysis • Event and activity modelling • Image-based sensor networks • Background and environment modelling IMPORTANT DATES Full Papers: Friday, July 8th 2011 Notification to authors: Friday, August 26th 2011 Submission Camera Ready: Tuesday, September 6th 2011 Workshop: Sunday, 13th November 2011 WORKSHOP CHAIRS Dr Kaiqi Huang, National Laboratory of Pattern Recognition, China Professor Steve Maybank, Birkbeck College, University of London, UK Dr James Orwell, Kingston University