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Detection and Geovisualization of Abnormal Vessel Behavior from Video

Solano-Carrillo, Edgardo and Carrillo Perez, Borja Jesus and Flenker, Tino and Steiniger, Yannik and Stoppe, Jannis (2021) Detection and Geovisualization of Abnormal Vessel Behavior from Video. In: 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. IEEE. 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 (Scopus), 19. - 22. Sept. 2021, Indianapolis, IN, United States. doi: 10.1109/ITSC48978.2021.9564675. ISBN 978-172819142-3.

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Abstract

Intelligent maritime situational awareness pursues an effective understanding of the majority of the activities related to the maritime domain (impacting the safety, security, economy, or environment), with the aid of artificial intelligence systems. Such an understanding requires the development of automated processes capable of not only detecting abnormal behavior but also of visually-representing and interpreting it. Although much progress has been made in anomaly detection and visualization using vessel self-reporting positioning data, there have been no corresponding advances using video data, despite the increasing use of cameras for maritime surveillance. In this work, we introduce a framework which goes beyond vessel tracking for anomaly detection in video, and is therefore applicable to scenes with a high density of vessels. The proposed framework detects abnormal behavior using a Generative Adversarial Network (GAN) and interprets this knowledge using metrics derived from clustering the positions and courses provided by an independent vessel/motion detector. These detections are geovisualized using an advanced displaying tool where detected abnormal behavior may be localized on the globe, providing an infrastructure for intelligent maritime situational awareness.

Item URL in elib:https://elib.dlr.de/144234/
Document Type:Conference or Workshop Item (Speech)
Title:Detection and Geovisualization of Abnormal Vessel Behavior from Video
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Solano-Carrillo, EdgardoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Carrillo Perez, Borja JesusUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Flenker, TinoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Steiniger, YannikUNSPECIFIEDhttps://orcid.org/0000-0002-9327-446XUNSPECIFIED
Stoppe, JannisUNSPECIFIEDhttps://orcid.org/0000-0003-2952-3422UNSPECIFIED
Date:September 2021
Journal or Publication Title:2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/ITSC48978.2021.9564675
Publisher:IEEE
Series Name:Proceedings of the International Conference on Intelligent Transportation
ISBN:978-172819142-3
Status:Published
Keywords:GAN, anomaly detection, maritime, security
Event Title:2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 (Scopus)
Event Location:Indianapolis, IN, United States
Event Type:international Conference
Event Dates:19. - 22. Sept. 2021
Organizer:IEEE
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Bremerhaven
Institutes and Institutions:Institute for the Protection of Maritime Infrastructures
Deposited By: Stoppe, Dr.-Ing. Jannis
Deposited On:08 Oct 2021 08:58
Last Modified:27 Oct 2023 15:29

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