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Proceedings Paper

A moving ship detection based on edge information of single image and background subtraction
Author(s): Tingyan Shi; Lichun Yang; Zhicheng Liu
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Paper Abstract

Ship detection based on video is important in the application of surveillance and marine safety, the detection results of tradition methods, such as background subtraction, have much noise because of background noise such as ocean wave. In this paper we present a simple but efficient method for ship detection, It is based on the edge information of single image and movement information of multi images. Firstly, detect those movement pixels used the background subtraction to the video image, and the distance transformation is operation on the difference images; Secondly, we detect the edge of video image used Canny detector , and morphological operation on the edge image, lastly, eliminate the movement pixels if their distance transformation value is bigger than the threshold. The experimental results demonstrate that is efficient to eliminate the background noise and detect the real target.

Paper Details

Date Published: 27 October 2013
PDF: 6 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190O (27 October 2013); doi: 10.1117/12.2029531
Show Author Affiliations
Tingyan Shi, Jiangsu Automation Research Institute (China)
Lichun Yang, Jiangsu Automation Research Institute (China)
Zhicheng Liu, Jiangsu Automation Research Institute (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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