Visible and infrared image registration using trajectories and composite foreground images
Visible and infrared image registration using trajectories and composite foreground images
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DOI：
10.1016/j.imavis.2010.08.002
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Guillaume-Alexandre Bilodeau;Atousa Torabi;François Morin
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文献类型：
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作者：
Guillaume-Alexandre Bilodeau;Atousa Torabi;François Morin
来自多种类型传感器（特别是红外传感器和可见光颜色传感器）的图像的配准是实现多传感器融合的一个步骤。本文提出了一种新的误差函数的配准方法。利用背景差分和简单跟踪得到的运动目标轨迹，实现了红外和可见光彩色图像的配准。使用基于RANSAC的算法和一种新的配准准则匹配轨迹点，该准则是基于复合前景图像中前景像素的重叠。该标准允许在轨迹很少时执行配准，并给出更稳定的结果。我们的方法进行了测试，其性能量化使用九个场景。它优于一个相关的方法只基于轨迹点的情况下，有几个移动对象。
The registration of images from multiple types of sensors (particularly infrared sensors and visible color sensors) is a step toward achieving multi-sensor fusion. This paper proposes a registration method using a novel error function. Registration of infrared and visible color images is performed by using the trajectories of moving objects obtained using background subtraction and simple tracking. The trajectory points are matched using a RANSAC-based algorithm and a novel registration criterion, which is based on the overlap of foreground pixels in composite foreground images. This criterion allows performing registration when there are few trajectories and gives more stable results. Our method was tested and its performance quantified using nine scenarios. It outperforms a related method only based on trajectory points in cases where there are few moving objects.