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.

中文翻译：

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基于高斯模型和匈牙利算法的红外目标检测

摘要

提出了一种基于高斯分布的目标建模方法。通过卡尔曼滤波预测红外目标的轨迹。匈牙利算法的 Munkres 版本用于找到轨迹和真实目标位置之间的最佳分配。最后，基于开放数据集，我们证明了所提出的算法能够更有效地发现和跟踪红外暗目标，同时满足实时检测的要求。