ITM Web Conf.
Volume 45, 20222021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|Number of page(s)||8|
|Section||Computer Technology and System Design|
|Published online||19 May 2022|
Information fusion structure of VTS sensors for multi-target tracking of vessels
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: email@example.com
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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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