Image stabilization technology for active bridge-vessel anti-collision monitoring system
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Détails bibliographiques
| Auteur(s): |
Zhufeng Shao
(Department of Bridge Engineering, Tongji University, Shanghai, China)
Haiying Ma 
(Department of Bridge Engineering, Tongji University, Shanghai, China)
Ye Xia (Department of Bridge Engineering, Tongji University, Shanghai, China) Junjie Wang (Department of Bridge Engineering, Tongji University, Shanghai, China) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
| Publié dans: | IABSE Congress Ghent 2021 | ||||
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| Page(s): | 549-554 | ||||
| Nombre total de pages (du PDF): | 6 | ||||
| DOI: | 10.2749/ghent.2021.0549 | ||||
| Abstrait: |
In recent years, the active anti-collision system using new technologies such as image target recognition between ship and bridge becomes a new research hotspot. Due to camera jitter, it is not easy to deeply mine the monitoring image data. This paper puts forward an anti-jitter algorithm to obtain the ship monitoring track in the sea area removing the camera jitter. It uses electronic image stabilization, sea-sky line anti jitter filtering, and other methods to process the on-site monitoring video, then compares the effect of each technique, and finally obtains high-quality ship tracking data. Through this method, a high-quality ship monitoring track in the bridge area can be obtained. |
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| Copyright: | © 2021 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | Cette oeuvre ne peut être utilisée sans la permission de l'auteur ou détenteur des droits. |
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