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ThinkMind // ICONS 2019, The Fourteenth International Conference on Systems // View article icons_2019_3_30_40033


Automatic Ship Detection on Inland Waters: Problems and a Preliminary Solution

Authors:
Tomasz Hyla
Natalia Wawrzyniak

Keywords: ship; detection; video surveillance; fixed camera

Abstract:
Marine ship traffic is usually monitored using a combination of Automatic Identification System (AIS) and radar networks. Video monitoring is often used to control vessel traffic on rivers, in ports, and other restricted areas. Despite the many means used, the task of automatic detection and identification of vessels on inland waters is not trivial. In this paper, the problem of automatic ship detection using the video surveillance system is analyzed and discussed primarily in the context of systems' performance. In the proposed solution, we assume that detection uses only video streams from the existing monitoring system without any additional hardware or special configuration or placement of cameras. In addition, the detection must work in real time and the system must detect all moving vessels, including small boats and kayaks. The main contributions of this work consist in presenting the results from several performance tests using different background subtraction algorithms as well as discussing problems that make moving vessels difficult to detect.

Pages: 56 to 60

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

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