The surveillance of large sea areas normally requires the analysis of large volumes of
heterogeneous, multidimensional and dynamic sensor data, in order to improve vessel traffic …

The surveillance of large sea, air or land areas normally involves the analysis of large
volumes of heterogeneous data from multiple sources. Timely detection and identification of …

The surveillance of large sea areas typically involves the analysis of huge quantities of
heterogeneous data. In order to support the operator while monitoring maritime traffic, the …

With the vast amount of network information available on activities of people (ie motions,
transportation routes, and site visits) there is a need to explore the salient properties of data …

The application of anomaly-monitoring and surveillance systems is crucial for improving
maritime situational awareness. These systems must work on the fly in order to provide the …

A reliable and efficient characterization of vessel activities along coastal regions is of crucial
importance for maritime domain awareness. With increased navigational flows across all …

An improved neurobiologically inspired algorithm for situation awareness in the maritime
domain takes real-time tracking information and learns motion pattern models based on …

Large volumes of heterogeneous data from multiple sources need to be analyzed during the
surveillance of large sea, air, and land areas. Timely detection and identification of …

Surveillance operators normally analyze vast amounts of sensor data in order to find conflict
situations, and threatening or unusual activities while allowing the continuous flow of goods …

To date, our neurobiologically inspired algorithms for exploiting track data to learn normal
patterns of motion behavior, detect deviations from normalcy, and predict future behavior …