Long Range Moving Target Detection Based on Motion Analysis
基于运动特征的远距离红外目标检测方法

Detection of long range targets in thermal infrared image sequences is of interest in many applications such as military field and surveillance system. Incoming targets at long range where the motion is small and signal to noise is poor are difficult to detect in cluttered thermal infrared image sequences. In this paper, long range target detection in cluttered thermal infrared image sequences is presented. At first, possible targets are detected using top-hat detector in thermal infrared video. Next, motion feature is analyzed by measure the correlation of a target in different frames. Targets with reasonable motion characteristics are decided as long range moving target. In the proposed method background estimation is not needed and heavy noise could be avoided. By modify motion model, targets with different motion features could be detected. Experiments show that the proposed method is feasible and robust.