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Marine Organisms Tracking and Recognizing Using YOLO

  • Tomoki Uemura
  • Huimin LuEmail author
  • Hyoungseop Kim
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

A system that investigates deep sea automatically has never developed. A purpose of this study is developing such a system. We employed a technique of recognition and tracking of multi-objects, called “You Only Look Once: YOLO.” This method provides us very fast and accurate tracker. In our system, we remove the haze, which is caused by turbidity of water, from image. After its process, we apply “YOLO” to tracking and recognizing the marine organisms, which includes shrimp, squid, crab, and shark. Our developed system shows generally satisfactory performance.

Keywords

Deep-sea video Tracking Marine organisms 

Notes

Acknowledgments

This work was supported by JSPS KAKENHI (17K14694), Leading Initiative for Excellent Young Researcher (LEADER) of Ministry of Education, Culture, Sports, Science, and Technology—Japan (16809746), Research Fund of State Key Laboratory of Marine Geology in Tongji University (MGK1803), Research Fund of State Key Laboratory of Ocean Engineering in Shanghai Jiaotong University (1510), Research Fund of The Telecommunications Advancement Foundation, Fundamental Research Developing, Association for Shipbuilding and Offshore and Strengthening Research Support Project of Kyushu Institute of Technology. We also thank JAMSTEC for offering the datasets.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mechanical and Control EngineeringKyushu Institute of TechnologyKitakyushuJapan

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