Information fusion structure of VTS sensors for multi-target tracking of vessels
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....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2022/05/itmconf_cscns2022_01008.pdf |
| _version_ | 1817978263907074048 |
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| author | Chen Jingxue Wang Jie Lu Hua |
| author_facet | Chen Jingxue Wang Jie Lu Hua |
| author_sort | Chen Jingxue |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T22:27:07Z |
| format | Article |
| id | doaj.art-ae49890b2b91478db1aa3fd1d48a0193 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-04-13T22:27:07Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-ae49890b2b91478db1aa3fd1d48a01932022-12-22T02:27:02ZengEDP SciencesITM Web of Conferences2271-20972022-01-01450100810.1051/itmconf/20224501008itmconf_cscns2022_01008Information fusion structure of VTS sensors for multi-target tracking of vesselsChen Jingxue0Wang Jie1Lu Hua2School of Information Science and Engineering, Southeast UniversitySchool of Information Science and Engineering, Southeast UniversityGuangdong Communication and Networks InstituteInformation 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.https://www.itm-conferences.org/articles/itmconf/pdf/2022/05/itmconf_cscns2022_01008.pdfvts sensorsinformation fusioncentral-level fusiontracklevel fusion |
| spellingShingle | Chen Jingxue Wang Jie Lu Hua Information fusion structure of VTS sensors for multi-target tracking of vessels ITM Web of Conferences vts sensors information fusion central-level fusion tracklevel fusion |
| title | Information fusion structure of VTS sensors for multi-target tracking of vessels |
| title_full | Information fusion structure of VTS sensors for multi-target tracking of vessels |
| title_fullStr | Information fusion structure of VTS sensors for multi-target tracking of vessels |
| title_full_unstemmed | Information fusion structure of VTS sensors for multi-target tracking of vessels |
| title_short | Information fusion structure of VTS sensors for multi-target tracking of vessels |
| title_sort | information fusion structure of vts sensors for multi target tracking of vessels |
| topic | vts sensors information fusion central-level fusion tracklevel fusion |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2022/05/itmconf_cscns2022_01008.pdf |
| work_keys_str_mv | AT chenjingxue informationfusionstructureofvtssensorsformultitargettrackingofvessels AT wangjie informationfusionstructureofvtssensorsformultitargettrackingofvessels AT luhua informationfusionstructureofvtssensorsformultitargettrackingofvessels |