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27 October 2013 A moving ship detection based on edge information of single image and background subtraction
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Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 89190O (2013) https://doi.org/10.1117/12.2029531
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tingyan Shi, Lichun Yang, and Zhicheng Liu "A moving ship detection based on edge information of single image and background subtraction", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190O (27 October 2013); https://doi.org/10.1117/12.2029531
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