Voles, P., Smith, A.A.W. and Teal, M. K., 2000. Nautical Scene Segmentation Using Variable Size Image Windows and Feature Space Reclustering. In: Computer Vision — ECCV 2000. Proceedings of the 6th European Conference on Computer Vision-Part II. Dublin, Ireland. 26 June - 1 July 2000. Berlin: Springer Verlag, pp. 324-335.
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This paper describes the development of a system for the segmentation of small vessels and objects present in a maritime environment. The system assumes no a priori knowledge of the sea, but uses statistical analysis within variable size image windows to determine a characteristic vector that represents the current sea state. A space of characteristic vectors is searched and a main group of characteristic vectors and its centroid found automatically by using a new method of iterative reclustering. This method is an extension and improvement of the work described in . A Mahalanobis distance measure from the centroid is calculated for each characteristic vector and is used to determine inhomogenities in the sea caused by the presence of a rigid object. The system has been tested using several input image sequences of static small objects such as buoys and small and large maritime vessels moving into and out of a harbour scene and the system successfully segmented these objects.
|Item Type:||Book Section|
|Additional Information:||Computer Vision - ECCV 2000: Proceedings of the 6th European Conference on Computer Vision-Part II. Dublin, Ireland. 26 June - 1 July 2000|
|Subjects:||Technology > Manufacturing and Design > Design|
|Group:||School of Design, Engineering & Computing > Smart Technology Research Centre|
|Deposited By:||INVALID USER|
|Deposited On:||05 Feb 2009 10:35|
|Last Modified:||07 Mar 2013 14:56|
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