Ship trajectory anomaly detection

Article type: Research Article

Authors: Praczyk, Tomasz

Affiliations: Polish Naval Academy, Institute of Naval Weapon, Gdynia, Poland | E-mail: [email protected]

Correspondence: [*] Corresponding author: Polish Naval Academy, Institute of Naval Weapon, Gdynia, Poland. E-mail: [email protected].

Abstract: This paper compares a number of state-of-the-art anomaly detection methods on real ship trajectories obtained by an Automatic Identification System (AIS) in the Baltic sea. Because most methods need fixed length trajectory representations, the paper also gives some solutions for reducing variable length trajectories to a fixed size.

Keywords: Anomaly detection, ship monitoring, suspicious ship detection

DOI: 10.3233/IDA-184366

Journal: Intelligent Data Analysis, vol. 23, no. 5, pp. 1021-1040, 2019