Abstract
This paper presents a method to accurately detect and monitor ships within the area of interest. It is an advanced version of the previous works done regarding moving ship detection and tracking. The proposed tracking scheme is based on the characteristics of both sea and ship, which includes: background information and local position of the ship. Background subtraction and registration is achieved using morphological ‘Open’ operation and the ships are located using their edge information. The experimental results demonstrate robust and real-time ship detection and tracking with 98.7% detection rate. The proposed algorithm will be useful in coastal surveillance and monitoring applications.
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Arshad, N., Moon, KS., Kim, JN. (2010). Multiple Ship Detection and Tracking Using Background Registration and Morphological Operations. In: Kim, Th., Pal, S.K., Grosky, W.I., Pissinou, N., Shih, T.K., Ślęzak, D. (eds) Signal Processing and Multimedia. MulGraB SIP 2010 2010. Communications in Computer and Information Science, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17641-8_16
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DOI: https://doi.org/10.1007/978-3-642-17641-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17640-1
Online ISBN: 978-3-642-17641-8
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