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Proceedings Paper

Automatic detection in a maritime environment: gradient filter versus intensity background estimation
Author(s): Tanja Y. C. van Valkenburg-van Haarst; Fok Bolderheij; Frans C. A. Groen
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Paper Abstract

Automatic detection of surface objects, like vessels, in a maritime environment from images is an important issue in naval surveillance. Two different approaches - gradient filter and background estimation - are presented in this paper and the test results on real data, both infrared as well as visible light images, are discussed. In the gradient approach, a gradient filter scans the sea-part of the image horizontally and vertically resulting in peaks at locations where the gradient exceeds a predefined local threshold. In the second approach, the background estimation, a polynomial model of the background is fitted locally to the seapart of the image. Using these polynomial background-estimators in the actual sea-analysis, objects are detected. In this paper the advantages and disadvantages of both approaches are discussed.

Paper Details

Date Published: 14 April 2008
PDF: 12 pages
Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670V (14 April 2008); doi: 10.1117/12.777061
Show Author Affiliations
Tanja Y. C. van Valkenburg-van Haarst, Royal Netherlands Navy (Netherlands)
Univ. of Amsterdam (Netherlands)
Fok Bolderheij, Royal Netherlands Navy (Netherlands)
Frans C. A. Groen, Univ. of Amsterdam (Netherlands)

Published in SPIE Proceedings Vol. 6967:
Automatic Target Recognition XVIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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