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Abstract Situational awareness is one of the most essential abilities of unmanned vessels. Even in the case of manned vessels, situational awareness can contribute to safe navigation by detecting and alerting potential collisions. Although radar and AIS(Automatic Identification System) are widely used for detection, it is necessary to use vision cameras that can take place of human eyes to detect near objects and identify object types. In this study, we performed machine vision based object detection and tracking for the situational awareness in maritime environment. For object detection, the state-of-the-art detection algorithms and their various backbone CNN(Convolutional Neural Network) models were applied; a two-stage detection model derived from Faster R-CNN and a single-stage detection model based on YOLO were implemented and tested in this study. The performance in mAP(mean average precision) score of each detection model was evaluated and compared. For object tracking, we surveyed not only conventional correlation filtering algorithms but also deep learning algorithms using LSTM(Long Short-Term Memory) network models. All the trainable detection and tracking models were trained by maritime domain image dataset. Performance of each model was estimated under maritime visionary environment.
Publication Date 2019-09-24

Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, Youngsoo Seok, Won-Jae Lee, June-Beom Lee, Hyun Soo Kim, "Image-based Object Detection and Tracking Method for Ship Navigation," Proceedings of ICCAS(International Conference on Computer Applications in Shipbuilding) 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26


  1. No Image 05Oct
    by
    in Conference Chairman

    Track 1 of Day 3, ICCAS(International Conference on Computer Applications in Shipbuilding) 2015, Bremen, Germany, 2015.09.29-10.01

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  3. Sung-Woo Park, Myung-Il Roh, Seong-Hoon Kim, Min-Jae Oh, "Material Requirements Planning of Offshore Structures Using Big Data Frameworks", Proceedings of ISCDE 2017, Ho Chi Minh, Vietnam, pp. 1-2, 2017.12.13-16

  4. Sung-Woo Park, Myung-Il Roh, Min-Jae Oh, Seong-Hoon Kim, Won-Joon Lee, In-Il Kim, Chang-Yong Kim, "Estimation Model of Energy Efficiency Operational Indicator Using Public Data Based on Big Data Technology", Proceedings of ISOPE 2018, Sapporo, Japan

  5. Sung-Min Lee, Myung-Il Roh, Ki-Su Kim, Seung-Ho Ham, Shin-Hyung Kim, Jin-Ho Hwang, "Lug Arrangement Design Based on the Optimization Technique and the Dynamic Analysis for Safe Block Lifting in Shipbuilding", Proceedings of ISOPE 2016, Rhodes, Greece

  6. Sung-Min Lee, Myung-Il Roh, Ki-Su Kim, "Determination of Economical Ship Route Using Simultaneous Optimization Method", Proceedings of ACDDE 2016, Jeju, Korea, 2016.10.25-28

  7. Sung-Kyoon Kim, Sol Ha, Seun-Ho Ham, Myung-Il Roh, "Optimal Layout Method for Offshore Plant Topside Considering the Safey, Operability and Maintanability", Proceedings of IMDC 2015, Tokyo, Japan, 2015.5.11-14

  8. No Image 23May
    by SyDLab
    in International Conference

    Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, Youngsoo Seok, Won-Jae Lee, June-Beom Lee, Hyun Soo Kim, "Image-based Object Detection and Tracking Method for Ship Navigation," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26

  9. Sung-Jun Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Il-Guk Woo, "Image-based Ship Detection and Classification for Unmanned Surface Vehicle Using Real-Time Object Detection Neural Networks", Proceedings of ISOPE 2018, Sapporo, Japan, 2018.06.10-15

  10. Sun-Kyung Jung, Myung-Il Roh, Seung-Min Lee, Ki-Su Kim, "Optimal Arrangement Method for Naval Surface Ship Considering the Stability, Operability, and Survivability", Proceedings of ICCAS 2017, Singapore, Singapore, 2017.09.26-28

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