Interactive human behavior analysis in open or public spaces

In the past years, efforts in surveillance and open space analysis have focused on traditional computer vision problems like scene modeling or object detection and tracking. Research on human behavior recognition have tended to work on predefined simple activities such as running, jumping or left luggage, and single-person trajectory analysis. The goal of the workshop is to bring together experts and researchers from different fields to share their experience and expertise about the opportunities on the development of tools for automated social analysis in open and public spaces. Humans exhibit a rich range of behaviors, from their interaction with the environment such as how groups of people occupy the space or how they manipulate or use objects within it, to the way they communicate with each other. Such behaviors can be captured from multiple sensors. Automatically interpreting interactive behavior provides a richer foundation for ambient intelligent environments