Infrared target detection in large field of view using visual attention

Gang Sun; Weihua Wang; Songlin Liu; Zengping Chen

doi:10.1117/12.2067285

7 October 2014 Infrared target detection in large field of view using visual attention

Gang Sun, Weihua Wang, Songlin Liu, Zengping Chen

Proceedings Volume 9249, Electro-Optical and Infrared Systems: Technology and Applications XI; 92491A (2014) https://doi.org/10.1117/12.2067285
Event: SPIE Security + Defence, 2014, Amsterdam, Netherlands

Abstract

High-resolution, multi-pixels and large field of view (FOV) infrared (IR) detector is an important research direction, which greatly improves the target detection capability. This paper addresses the infrared target detection under the guidance of attention mechanism. The Gabor filter is used to extract the elementary visual feature of infrared image for its orientation selectiveness. Then it researches the reasons that produce visual saliency in frequency domain, and provides the multichannel feature combination strategy to generate the feature map. Further, a novel saliency detection model using Fourier spectrum filtering, is presented to calculate feature regions of infrared image. Experimental results using a wide range of real IR images demonstrate that the proposed algorithm is robust and effective, yielding satisfying results for infrared target detection in large FOV with complex background and low SNR.

Citation Download Citation

Gang Sun, Weihua Wang, Songlin Liu, and Zengping Chen "Infrared target detection in large field of view using visual attention", Proc. SPIE 9249, Electro-Optical and Infrared Systems: Technology and Applications XI, 92491A (7 October 2014); https://doi.org/10.1117/12.2067285

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KEYWORDS

Infrared imaging

Infrared radiation

Visualization

Image filtering

Infrared detectors

Optical filters

Target detection

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