vs 2011 - 11th IEEE Workshop on Visual Surveillance

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
Object recognition and tracking in a surveillance context
Analysis of behaviour analysis and recognition
Advanced techniques for retrieval of surveillance data
Event and activity modelling
Background and environment modelling
Detection of anomalies
Methods using weak supervision to learn environmental conditions
Analysis of groups and crowds
Automatic control of PTZ networks using video analysis
Image-based sensor networks