Ms. Han Ye Profile

Han Ye

at Shenzhen Univ

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Proceedings Article | 19 February 2018 Paper

Infrared images target detection based on background modeling in the discrete cosine domain

Han Ye, Jihong Pei

Proceedings Volume 10608, 106080J (2018) https://doi.org/10.1117/12.2285785

KEYWORDS: Target detection, Infrared imaging, Detection and tracking algorithms, Video surveillance, Infrared detectors

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Background modeling is the critical technology to detect the moving target for video surveillance. Most background modeling techniques are aimed at land monitoring and operated in the spatial domain. A background establishment becomes difficult when the scene is a complex fluctuating sea surface. In this paper, the background stability and separability between target are analyzed deeply in the discrete cosine transform (DCT) domain, on this basis, we propose a background modeling method. The proposed method models each frequency point as a single Gaussian model to represent background, and the target is extracted by suppressing the background coefficients. Experimental results show that our approach can establish an accurate background model for seawater, and the detection results outperform other background modeling methods in the spatial domain.

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