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Proceedings Paper

Dim moving target detection based on detection index using local gamma correction and motion information
Author(s): Ju-Young Kim; Ki-Hong Kim; Duk-Gyoo Kim
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Paper Abstract

This paper introduces a novel adaptive algorithm for target detection in infrared search and track (IRST) system. The algorithm is proposed on the basis of robust and adaptive method that is invariant to the prior uncertainty with respect to statistical properties of cluttered background and noise. The essence of proposed algorithm is to design the detection index over two images obtained by processing the given image through the local gamma correction (LGC) and the estimation of target motion. And the detection index (DI) is obtained by the two factors which calculated relations between two images: luminance rate (LR), and contrast rate (CR). Results of simulation show that the proposed algorithm gives an enormous gain on real infrared image sequences.

Paper Details

Date Published: 14 May 2007
PDF: 9 pages
Proc. SPIE 6542, Infrared Technology and Applications XXXIII, 65423D (14 May 2007); doi: 10.1117/12.719144
Show Author Affiliations
Ju-Young Kim, Kyungpook National Univ. (South Korea)
Ki-Hong Kim, Agency for Defense Development (South Korea)
Duk-Gyoo Kim, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 6542:
Infrared Technology and Applications XXXIII
Bjørn F. Andresen; Gabor F. Fulop; Paul R. Norton, Editor(s)

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