Image stabilization technology for active bridge-vessel anti-collision monitoring system
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Bibliografische Angaben
| Autor(en): |
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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| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
| Veröffentlicht in: | IABSE Congress Ghent 2021 | ||||
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| Seite(n): | 549-554 | ||||
| Anzahl der Seiten (im PDF): | 6 | ||||
| DOI: | 10.2749/ghent.2021.0549 | ||||
| Abstrakt: |
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) | ||||
| Lizenz: | Die Urheberrechte (Copyright) für dieses Werk sind rechtlich geschützt. Es darf nicht ohne die Zustimmung des Autors/der Autorin oder Rechteinhabers/-in weiter benutzt werden. |
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