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Proceedings Paper

Ship detection with an attention mechanism applied
Author(s): Yuehuan Wang; Tianxu Zhang; Guoyou Wang
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Paper Abstract

In this paper, An approach for fast ship detection in infrared (IR) images based on multi-resolution attention mechanism is proposed. In order to realize real-time image analysis, attention mechanism is indispensable to focus the computational resources on only regions or information related to the task at hand. This paper discusses topics of: sampling model; index information generating or areas of interest (AOI) searching; next fixation point determination and target detection. Variance of the neighboring nodes in the periphery is used to form a saliency map of the image. Node with higher saliency is of greater possibility to be engine or other hot parts on a ship, while a straight line near below can confirm the ship hypothesis. In the paper, the sampling model is introduced, and then the 'index region' detection and the following saccade and analysis process are discussed. At the end of the paper, experimental results of the detection of ships with different size in infrared images are presented. Those demonstrate that our approach can find ship target effectively. Comparisons of performance with our approach and those of some other approaches are also presented.

Paper Details

Date Published: 22 October 2001
PDF: 9 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445402
Show Author Affiliations
Yuehuan Wang, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Guoyou Wang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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