The automatic detection of anomalies in the maritime domain requires representative anomalous instances. Presto is an application that enables maritime-domain experts to create artificial anomalous vessel trajectories, characteristic of traffic violations, illegal fishing activities, drug smuggling, or piracy. When merged with existing real-world data the artificial trajectories enable the application and evaluation of machine learning algorithms for the automatic detection of anomalies.
Presto was developed by Jeroen Janssens during his Ph.D. on outlier selection and one-class classification at Tilburg University for the Poseidon project. It was first demonstrated at the 22nd Benelux Conference on Artificial Intelligence:
Janssens, J.H.M. and Hiemstra, H. and Postma, E.O. Creating artificial vessel trajectories with Presto. In Proceedings of the 22nd Benelux Conference on Artificial Intelligence, Luxembourg, 2010
Tilburg University, Embedded Systems Institute, and Thales Nederland BV have kindly given permission to make Presto open source.
Copyright Tilburg University. Distributed under the GPLv3 license.