Based on spatial-temporal multiframe association infrared target detection

Zhonghua Wang; Chao Wang; Faliang Huang; Jianguo Liu

doi:10.1117/12.2210969

14 December 2015 Based on spatial-temporal multiframe association infrared target detection

Zhonghua Wang, Chao Wang, Faliang Huang, Jianguo Liu

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98121A (2015) https://doi.org/10.1117/12.2210969
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

Infrared small target detection is difficult due to several aspects, including the low signal-to-clutter ratio of the infrared image, and the small size, lack of shape and texture information of the target. a novel method, which is based on spatial-temporal association, is presented for infrared target detection. The algorithm consists of the three steps: Firstly, 2-dimensional histogram of entropy flow field is computed to estimate the background motion. Secondly, the difference image through background motion compensation is obtained. Finally, the targets are detected by spatial-temporal filter. The experiment results demonstrate that the proposed algorithm is robust to noise, and also fit to detect small targets under moving backgrounds in infrared image sequences.

Citation Download Citation

Zhonghua Wang, Chao Wang, Faliang Huang, and Jianguo Liu "Based on spatial-temporal multiframe association infrared target detection", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98121A (14 December 2015); https://doi.org/10.1117/12.2210969

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