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http://dx.doi.org/10.13067/JKIECS.2013.8.2.213

Ship Detection Using Visual Saliency Map and Mean Shift Algorithm  

Park, Jang-Sik (경성대학교 전자공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.8, no.2, 2013 , pp. 213-218 More about this Journal
Abstract
In this paper, a video based ship detection method is proposed to monitor port efficiently. Visual saliency map algorithm and mean shift algorithm is applied to detect moving ships don't include background information which is difficult to track moving ships. It is easy to detect ships at the port using saliency map algorithm, because it is very effective to extract saliency object from background. To remove background information in the saliency region, image segmentation and clustering using mean shift algorithm is used. As results of detecting simulation with images of a camera installed at the harbor, it is shown that the proposed method is effective to detect ships.
Keywords
Ship Detection; Saliency map; Mean shift; image segmentation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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