Infrared target detection based on Gaussian model and Hungarian algorithm
Infrared target detection based on Gaussian model and Hungarian algorithm
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DOI：
10.1080/17517575.2021.1913766
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发表时间：
2021-04
影响因子：
4.4
通讯作者：
Zhiyu Zhu;Kang Lou;Huilin Ge;Qing-song Xu;Xuedong Wu
中科院分区：
文献类型：
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作者：
Zhiyu Zhu;Kang Lou;Huilin Ge;Qing-song Xu;Xuedong Wu
ABSTRACT Based on Gaussian distribution, a method for modelling targets is proposed. The trajectories of infrared targets are predicted by Kalman filtering. The Munkres version of the Hungarian algorithm is utilized to find the optimum assignment between the trajectories and the positions of real targets. Finally, based on the open dataset, we prove that the proposed algorithm is able to find and track infrared dim targets more effectively, while satisfying the requirements of real-time detection.
