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Proceedings Paper

Research on automatic detection method of infrared marine buoy based on CNN
Author(s): Shousheng Liu; Zhigang Gai; Lin Cao; Hui Li; Ding Hu; Fengxiang Guo; Huimin Qiu
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Paper Abstract

Most of objects on marine surface are ships and buoys. There are a lot of researches on object recognition and localization for ship, but few studies are focus on marine buoy detection. If marine buoys could be detected in time, most of the damage caused by collision with ships or unmanned vessels will be avoided. We propose a method for automatic detection of marine buoy: by using infrared camera we obtain video stream data in which we select and annotate infrared image samples with buoys, by training those samples we fine-tune a CNN detection model based on MobleNet-SSD which is pre-trained on the Pascal VOC dataset. Any marine buoy could be recognized and localized by our detection method, whose average precision on our test set is up to 90%. We get real-time performance with FPS up to 30 on portable embedded devices like NVIDIA Jetson AGX Xavier and Intel Neural Compute Stick 2.

Paper Details

Date Published: 31 January 2020
PDF: 6 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114273N (31 January 2020); doi: 10.1117/12.2553051
Show Author Affiliations
Shousheng Liu, Qilu Univ. of Technology (China)
Shandong Provincial Key Lab. of Marine Monitoring Instrument Equipment Technology (China)
National Engineering and Technological Research Ctr. of Marine Monitoring Equipment (China)
Zhigang Gai, Qilu Univ. of Technology (China)
Shandong Provincial Key Lab. of Marine Monitoring Instrument Equipment Technology (China)
National Engineering and Technological Research Ctr. of Marine Monitoring Equipment (China)
Lin Cao, Qilu Univ. of Technology (China)
Shandong Provincial Key Lab. of Marine Monitoring Instrument Equipment Technology (China)
National Engineering and Technological Research Ctr. of Marine Monitoring Equipment (China)
Hui Li, Qilu Univ. of Technology (China)
Shandong Provincial Key Lab. of Marine Monitoring Instrument Equipment Technology (China)
National Engineering and Technological Research Ctr. of Marine Monitoring Equipment (China)
Ding Hu, Qilu Univ. of Technology (China)
Shandong Provincial Key Lab. of Marine Monitoring Instrument Equipment Technology (China)
National Engineering and Technological Research Ctr. of Marine Monitoring Equipment (China)
Fengxiang Guo, Qilu Univ. of Technology (China)
Shandong Provincial Key Lab. of Marine Monitoring Instrument Equipment Technology (China)
National Engineering and Technological Research Ctr. of Marine Monitoring Equipment (China)
Huimin Qiu, Qilu Univ. of Technology (China)
Shandong Provincial Key Lab. of Marine Monitoring Instrument Equipment Technology (China)
National Engineering and Technological Research Ctr. of Marine Monitoring Equipment (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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