| Issue |
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 8 | |
| Section | Computer Technology and System Design | |
| DOI | https://doi.org/10.1051/itmconf/20224501008 | |
| Published online | 19 May 2022 | |
Information fusion structure of VTS sensors for multi-target tracking of vessels
1
School of Information Science and Engineering, Southeast University, China
2
National Mobile Communications Research Laboratory, Nanjing, China
3
Guangdong Communication and Networks Institute, Guangzhou, China
* Corresponding author: wangjie@seu.edu.cn
Information fusion using VTS sensors of AIS, radar and camera are of great significance to the waterborne traffic supervision. Firstly, this paper invites shore-based CCTV cameras into detection and location of vessel targets combining with bounding boxes generated by deep-learning based detectors. Besides, this paper compares information fusion structure of central-level and track-level in simulated waterborne traffic scenario. Finally, this paper introduces a track selection method for sensors with large false alarm rate to obtain tracks with better performance on both fusion structure when fully considering strengths and weaknesses of all kinds of VTS sensors.
Key words: VTS sensors / Information fusion / Central-level fusion / Tracklevel fusion
© The Authors, published by EDP Sciences, 2022
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