Smart Surveillance Systems

To enable effective and efficient command and control in military operations it is necessary to have full awareness of all the actions in the field. In traditional C2 systems human operators play key roles varying from observation in the field up to semantic interpretation of observed data in the Command and Control Centre. Networks are mainly used to transmit data between different components of the network. Observation by human operators will be replaced by sensor networks. The huge amount of incoming data is far beyond the capacity of operators, so the heterogeneous, multimodal data from the different sensor systems has to be fused, aggregated and filtered. Automated surveillance sensor networks will be discussed. Sensors will be modelled as a distributed system of smart agents. Methods and technology from Artificial Intelligence such as expert systems, semantic networks and probabilistic reasoning will be used to give a semantic interpretation of the sensed data from the environment.