Ship detection with an attention mechanism applied

Yuehuan Wang; Tianxu Zhang; Guoyou Wang

doi:10.1117/12.445402

22 October 2001 Ship detection with an attention mechanism applied

Yuehuan Wang, Tianxu Zhang, Guoyou Wang

Proceedings Volume 4379, Automatic Target Recognition XI; (2001) https://doi.org/10.1117/12.445402
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Yuehuan Wang, Tianxu Zhang, and Guoyou Wang "Ship detection with an attention mechanism applied", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445402

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