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http://dx.doi.org/10.9708/jksci.2011.16.9.069

Object Detection Algorithm Using Edge Information on the Sea Environment  

Jeong, Jong-Myeon (Department of Computer Engineering, Mokpo National Maritime University)
Park, Gyei-Kark (Div. of Maritime Transportation System, Mokpo National Maritime University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.9, 2011 , pp. 69-76 More about this Journal
Abstract
According to the related reports, about 60 percents of ship collisions have resulted from operating mistake caused by human factor. Specially, the report said that negligence of observation caused 66.8 percents of the accidents due to a human factor. Hence automatic detection and tracking of an object from an IR images are crucial for safety navigation because it can relieve officer's burden and remedies imperfections of human visual system. In this paper, we present a method to detect an object such as ship, rock and buoy from a sea IR image. Most edge directions of the sea image are horizontal and most vertical edges come out from the object areas. The presented method uses them as a characteristic for the object detection. Vertical edges are extracted from the input image and isolated edges are eliminated. Then morphological closing operation is performed on the vertical edges. This caused vertical edges that actually compose an object be connected and become an object candidate region. Next, reference object regions are extracted using horizontal edges, which appear on the boundaries between surface of the sea and the objects. Finally, object regions are acquired by sequentially integrating reference region and object candidate regions.
Keywords
infrared image; safety navigation; ship collision; object detection;
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Times Cited By KSCI : 2  (Citation Analysis)
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