A new recognition algorithm of small moving target based on multi-feature fusion is presented.
提出一种新的基于多特征融合的弱小运动目标识别方法。
A new feature level fusion and moving target tracking method for IR and visible images is proposed.
提出了一种红外与可见光图像的新颖的特征级融合与运动目标跟踪方法。
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.
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%。
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