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IFIP International Conference on Computer Information Systems and Industrial Management

CISIM 2019: Computer Information Systems and Industrial Management pp 39–49Cite as

Ships Detection on Inland Waters Using Video Surveillance System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11703))

Abstract

The video surveillance is used to monitor ships in order to ensure safety on waterways. The ships detection is a first step in a ship automatic identification process based on video streams. The paper presents a new algorithm for ships detection on inland waterways. The algorithm must detect moving ships of all kinds, including leisure craft, that are visible on a video stream and is designed to work for stationary cameras. Furthermore, it only requires an access to video streams from existing monitoring systems without any additional hardware or special configuration of cameras. The algorithm works in variable lightning conditions and with slight changes of background. In the paper, the test application implementing the algorithm is presented together with a series of experimental results showing the algorithm quality depending on different parameters’ sets. The main purpose of the tests was to find the optimal set of twelve parameters that will become the default setting. All moving ships, including small boats and kayaks, must be detected, which is the main difference from existing solutions that mostly focus on detection of only one vessel type. In the proposed algorithm, all objects that are moving on water are detected and then non-ships are eliminated by usage of some logic rules and excluding additional image processing methods.

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Acknowledgement

This scientific research work was supported by National Centre for Research and Development (NCBR) of Poland under grant No. LIDER/17/0098/L-8/16/NCBR/2017.

Author information

Authors and Affiliations

  1. West Pomeranian University of Technology, Szczecin, Poland

    Tomasz Hyla

  2. Marine Technology Ltd., Szczecin, Poland

    Natalia Wawrzyniak

Authors
  1. Tomasz Hyla
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  2. Natalia Wawrzyniak
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Corresponding author

Correspondence to Tomasz Hyla .

Editor information

Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. University of Calcutta, Calcutta, India

    Rituparna Chaki

  3. Mihajlo Pupin Institute, Belgrade, Serbia

    Valentina Janev

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Hyla, T., Wawrzyniak, N. (2019). Ships Detection on Inland Waters Using Video Surveillance System. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-28957-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28956-0

  • Online ISBN: 978-3-030-28957-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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