实验结果证明了本文采用的运动目标检测与跟踪算法的有效性，此外该算法具有良好的通用性，用于可见光图像序列也能收到好的效果。

Experimental results show that the proposed moving objects detection and tracking algorithm works well in not only infrared image sequences but also visual ones.

youdao

本文针对可见光和红外热图像序列中远距离目标检测，提出了一种基于决策级融合的目标检测方法。

Aim at the problem of detecting for long distance targets with visual and thermal infrared image sequences, a method of targets detection based on multisensor decision level fusion was developed.

youdao

对运动人手序列图像的对比跟踪实验表明，这种融合使得可见光图像中动态轮廓线平均跟踪误差减小了60.25%。

A contrasting experiment on moving hand image sequence indicates average tracking error of dynamic contour has decreased by 60.25% in visible image with this image fusion.

youdao