Solano-Carrillo, Edgardo und Carrillo Perez, Borja Jesus und Flenker, Tino und Steiniger, Yannik und 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), 2021-09-19 - 2021-09-22, Indianapolis, IN, United States. doi: 10.1109/ITSC48978.2021.9564675. ISBN 978-172819142-3.
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Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/144234/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
Titel: | Detection and Geovisualization of Abnormal Vessel Behavior from Video | ||||||||||||||||||||||||
Autoren: |
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Datum: | September 2021 | ||||||||||||||||||||||||
Erschienen in: | 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
DOI: | 10.1109/ITSC48978.2021.9564675 | ||||||||||||||||||||||||
Verlag: | IEEE | ||||||||||||||||||||||||
Name der Reihe: | Proceedings of the International Conference on Intelligent Transportation | ||||||||||||||||||||||||
ISBN: | 978-172819142-3 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | GAN, anomaly detection, maritime, security | ||||||||||||||||||||||||
Veranstaltungstitel: | 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 (Scopus) | ||||||||||||||||||||||||
Veranstaltungsort: | Indianapolis, IN, United States | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 19 September 2021 | ||||||||||||||||||||||||
Veranstaltungsende: | 22 September 2021 | ||||||||||||||||||||||||
Veranstalter : | IEEE | ||||||||||||||||||||||||
HGF - Forschungsbereich: | keine Zuordnung | ||||||||||||||||||||||||
HGF - Programm: | keine Zuordnung | ||||||||||||||||||||||||
HGF - Programmthema: | keine Zuordnung | ||||||||||||||||||||||||
DLR - Schwerpunkt: | keine Zuordnung | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | keine Zuordnung | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | keine Zuordnung | ||||||||||||||||||||||||
Standort: | Bremerhaven | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für den Schutz maritimer Infrastrukturen | ||||||||||||||||||||||||
Hinterlegt von: | Stoppe, Dr.-Ing. Jannis | ||||||||||||||||||||||||
Hinterlegt am: | 08 Okt 2021 08:58 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:43 |
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