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Maritime anomaly detection in ferry tracks

Zor, Cemre and Kittler, Josef (2017) Maritime anomaly detection in ferry tracks In: 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), 5 - 9 March 2017, New Orleans, USA.

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Abstract

This paper proposes a methodology for the automatic detec- tion of anomalous shipping tracks traced by ferries. The ap- proach comprises a set of models as a basis for outlier detec- tion: A Gaussian process (GP) model regresses displacement information collected over time, and a Markov chain based detector makes use of the direction (heading) information. GP regression is performed together with Median Absolute Devi- ation to account for contaminated training data. The method- ology utilizes the coordinates of a given ferry recorded on a second by second basis via Automatic Identification System. Its effectiveness is demonstrated on a dataset collected in the Solent area.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Zor, Cemrec.zor@surrey.ac.ukUNSPECIFIED
Kittler, JosefJ.Kittler@surrey.ac.ukUNSPECIFIED
Date : 9 March 2017
Funders : EPSRC
Copyright Disclaimer : © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Anomaly Detection, Gaussian Processes, Maritime Traffic, Median Absolute Deviation
Depositing User : Melanie Hughes
Date Deposited : 26 May 2017 09:41
Last Modified : 26 May 2017 09:44
URI: http://epubs.surrey.ac.uk/id/eprint/841180

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