Dim moving target detection based on detection index using local gamma correction and motion information

Ju-Young Kim; Ki-Hong Kim; Duk-Gyoo Kim

doi:10.1117/12.719144

14 May 2007 Dim moving target detection based on detection index using local gamma correction and motion information

Ju-Young Kim, Ki-Hong Kim, Duk-Gyoo Kim

Proceedings Volume 6542, Infrared Technology and Applications XXXIII; 65423D (2007) https://doi.org/10.1117/12.719144
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Ju-Young Kim, Ki-Hong Kim, and Duk-Gyoo Kim "Dim moving target detection based on detection index using local gamma correction and motion information", Proc. SPIE 6542, Infrared Technology and Applications XXXIII, 65423D (14 May 2007); https://doi.org/10.1117/12.719144

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