dc.contributor.author | D'Afflisio, Enrica | |
dc.contributor.author | Braca, Paolo | |
dc.contributor.author | Millefiori, Leonardo | |
dc.contributor.author | Willett, Peter K. | |
dc.date.accessioned | 2019-06-14T12:10:53Z | |
dc.date.available | 2019-06-14T12:10:53Z | |
dc.date.issued | 2019/05 | |
dc.identifier.govdoc | CMRE-PR-2019-006 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12489/747 | |
dc.description.abstract | A novel anomaly detection procedure based on the Ornstein-Uhlenbeck (OU) mean-reverting stochastic process is presented. The considered anomaly is a vessel that deviates from a planned route, changing its nominal velocity v0 . In order to hide this behavior, the vessel switches off its automatic identification system (AIS) device for a time T and then tries to revert to the previous nominal velocity v0. The decision that has to be made is declaring that a deviation either happened or not, relying only upon two consecutive AIS contacts. Furthermore, the extension to the scenario in which multiple contacts (e.g., radar) are available during the time period T is also considered. A proper statistical hypothesis testing procedure that builds on the changes in the OU process long-term velocity parameter v0 of the vessel is the core of the proposed approach and enables the solution of the anomaly detection problem. Closed analytical forms are provided for the detection and false alarm probabilities of the hypothesis test. | en_US |
dc.format | 14 p. : ill. ; digital, PDF file | |
dc.language.iso | en | en_US |
dc.publisher | CMRE | en_US |
dc.source | In: 2018 International Conference on IEEE Transaction on Signal Processing, vol 66, no. 24, December 2018, pp. 6474 - 6487, doi: 10.1109/TSP.2018.2875887 | en_US |
dc.subject | Maritime surveillance | en_US |
dc.subject | Maritime security | en_US |
dc.subject | Maritime situational awareness | en_US |
dc.subject | Ship movements | en_US |
dc.subject | Ornstein-Uhlenbeck stochastic process | en_US |
dc.subject | Target tracking | en_US |
dc.subject | Ship tracking | en_US |
dc.subject | Radar | en_US |
dc.subject | Automatic Identification Systems (AIS) | en_US |
dc.subject | Trajectory estimation | en_US |
dc.subject | Shipping noise | en_US |
dc.title | Detecting anomalous deviations from standard maritime routes using the Ornstein-Uhlenbeck process | en_US |
dc.type | Reprint (PR) | en_US |
dc.type | Papers and Articles | en_US |