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Automatic Ship Identification Approach for Video Survelience Systems

Authors:
Natalia Wawrzyniak
Tomasz Hyla

Keywords: ship identification; marine systems; image processing; video surveillance

Abstract:
Existing methods and systems for ships identification are mostly tailored for large, commercial vessels. Nowadays, a need to automatically identify smaller craft emerged, especial-ly in coastal, port or busy river waters. This paper presents a proposal of automatic vessel identification method using video streams from existing marine and inland surveillance systems that are part of vessel traffic services. The identification uses image processing methods to detect and classify ships, as well as recognize vessel plates. The results of these processes are then matched with vessels hull data from internal and external data bases. Fuzzy logic and historical analysis are used to assess identification certainty. The proposed preliminary solution is described and visualized with the use of systems logic schema.

Pages: 65 to 68

Copyright: Copyright (c) IARIA, 2019

Publication date: March 24, 2019

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-696-5

Location: Valencia, Spain

Dates: from March 24, 2019 to March 28, 2019