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Article

Object Recognition and Tracking in Moving Videos for Maritime Autonomous Surface Ships

by
Hyunjin Park
1,
Seung-Ho Ham
2,
Taekyeong Kim
1 and
Donghyeok An
1,*
1
Department of Computer Engineering, Changwon National University, Changwon 51140, Korea
2
Department of Naval Architecture & Marine Engineering, Changwon National University, Changwon 51140, Korea
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2022, 10(7), 841; https://doi.org/10.3390/jmse10070841
Submission received: 28 April 2022 / Revised: 8 June 2022 / Accepted: 19 June 2022 / Published: 21 June 2022
(This article belongs to the Section Ocean Engineering)
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Abstract

In autonomous driving technologies, a camera is necessary for establishing a path and detecting an object. Object recognition based on images from several cameras is required to detect impediments in autonomous ships. Furthermore, in order to avoid ship collisions, it is important to follow the movements of recognized ships. In this paper, we use the Singapore Maritime Dataset (SMD) and crawling image for model training. Then, we present four YOLO-based object recognition models and evaluate their performance in the maritime environment. Then, we propose a tracking algorithm to track the identified objects. Specially, in evaluation with high-motion video, the proposed tracking algorithm outperforms deep simple online and real-time tracking (DeepSORT) in terms of object tracking accuracy.
Keywords: object recognition; object tracking; deep learning; maritime autonomous surface ship object recognition; object tracking; deep learning; maritime autonomous surface ship

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MDPI and ACS Style

Park, H.; Ham, S.-H.; Kim, T.; An, D. Object Recognition and Tracking in Moving Videos for Maritime Autonomous Surface Ships. J. Mar. Sci. Eng. 2022, 10, 841. https://doi.org/10.3390/jmse10070841

AMA Style

Park H, Ham S-H, Kim T, An D. Object Recognition and Tracking in Moving Videos for Maritime Autonomous Surface Ships. Journal of Marine Science and Engineering. 2022; 10(7):841. https://doi.org/10.3390/jmse10070841

Chicago/Turabian Style

Park, Hyunjin, Seung-Ho Ham, Taekyeong Kim, and Donghyeok An. 2022. "Object Recognition and Tracking in Moving Videos for Maritime Autonomous Surface Ships" Journal of Marine Science and Engineering 10, no. 7: 841. https://doi.org/10.3390/jmse10070841

APA Style

Park, H., Ham, S.-H., Kim, T., & An, D. (2022). Object Recognition and Tracking in Moving Videos for Maritime Autonomous Surface Ships. Journal of Marine Science and Engineering, 10(7), 841. https://doi.org/10.3390/jmse10070841

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