The project is focused on the study and development of new algorithms and techniques for the design of a network of heterogeneous sensors for the automatic monitoring of public environments. A computer-based approach can optimize the integration of heterogeneous data coming from both fixed sensors (e.g., video surveillance cameras) and mobile sensors (e.g., autonomous robots or police operators) in such a way to augment the perception of the monitored environment. The collected data can be successively processed in order to generate high-level interpretations of the human activities in the observed environment (e.g., detecting and understanding unusual behaviors for the placement of a car bomb in the closeness of an interesting building like an embassy, etc). Moreover, the project aims to develop appropriate algorithms for the automatic reconfiguration of the sensor network in such a way that the network can assume the optimal configuration possible for the acquisition of interesting data. Finally, the project will investigates of appropriate data representation techniques able to provide an adequate multimodal interface to the human operator of the system.

Demos

Udine
Left Video: An example of automatic sensor network reconfiguration. Four cameras are automatically oriented and zoomed in order to optimally cover the zones of interest. Central video:Camera intrinsic parameters (iris and focus) can be adapted to improve the acquisition quality of the object. Right Video: Automatic face detection with an active camera

Roma
Multimodal user interfaces for video surveillance systems.

Padova
Video compression examples