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Automatic Registration of Color and Infrared Videos Using Trajectories Obtained From a Multiple Object Tracking Algorithm

机译:使用从多目标跟踪算法获得的轨迹自动注册颜色和红外视频

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The registration of images from multiple types of sensors (particularly infrared sensors and color sensors) is the first step to achieving multi-sensor fusion. This is the subject of this paper. Registration is performed by using the trajectories of the moving objects obtained by a novel multiple object tracking algorithm. The trajectories are matched using a RANSAC-based algorithm. The registration criteria used in this algorithm is based on the number of pixels in intersection after overlapping the two images. Results show registration accuracy close to the ground-truth after about 30 frames. The influence of the tracking method used to obtain the trajectories is also investigated.
机译:来自多种类型的传感器(特别是红外传感器和颜色传感器)的图像的登记是实现多传感器融合的第一步。这是本文的主题。通过使用通过新型多个对象跟踪算法获得的移动对​​象的轨迹来执行注册。轨迹使用基于Ransac的算法匹配。本算法中使用的登记标准基于重叠两个图像之后的交叉点数的数量。结果显示约30帧后的地面真理的登记精度。还研究了用于获得轨迹的跟踪方法的影响。

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