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http://dx.doi.org/10.6109/jkiice.2010.14.12.2636

Ship Detection Using Background Estimation of Video and AIS Informations  

Kim, Hyun-Tae (동의대학교 멀티미디어공학과)
Park, Jang-Sik (동의과학대학 전자과)
Yu, Yun-Sik (동의대학교 부산IT융합부품연구소)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.12, 2010 , pp. 2636-2641 More about this Journal
Abstract
To support anti-collision between ship to ship and sea-search and sea-rescue work, ship automatic identification system(AIS) that can both send and receive messages between ship and VTS Traffic control have been adopted. And port control system can control traffic vessel service which is co-operated with AIS. For more efficient traffic vessel service, ship recognition and display system is required to cooperated with AIS. In this paper, we propose ship detection system which is co-operated with AIS by using background estimation based on image processing for on the sea or harbor image extracted from camera. We experiment with on the sea or harbor image extracted from real-time input image from camera. By computer simulation and real world test, the proposed system show more effective to ship monitoring.
Keywords
AIS; Background Estimation; Image Mapping; Coordinates Matching;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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