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首页> 外文会议>IEEE International Conference on Systems, Man, and Cybernetics >Stable aerial image registration for people detection from a low-altitude aerial vehicle
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Stable aerial image registration for people detection from a low-altitude aerial vehicle

机译：稳定的航拍图像配准，可从低空飞行器中进行人员检测

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摘要

In this paper, for the purpose of monitoring people moving on the ground from a low-altitude aerial vehicle, we propose a method for stable image stabilization using planar information of the ground. In existing methods the homography-based method has been popularly used for image stabilization. However, in case that captured images consist of non-planar areas, the performance of the homography-based method decreases. The essential-based method works well in this scene, but the accuracy gets worse in case that images mainly include planar areas. Thus in the proposed method, we utilize the Geometric Robust Information Criterion (GRIC) model to choose a method from the homography-based method or the essential-based method. After the selection of the method, we extract a planar area in the scene by fitting a plane using RANSAC, followed by detection of people on the ground with high accuracy. Experimental results confirm that the effectiveness of the proposed method.
机译：在本文中，出于监视从低空飞行器在地面上移动的人的目的，我们提出了一种使用地面的平面信息来稳定图像稳定的方法。在现有方法中，基于单应性的方法已广泛用于图像稳定。但是，如果捕获的图像由非平面区域组成，则基于单应性的方法的性能会降低。基于本质的方法在该场景中效果很好，但是在图像主要包含平面区域的情况下，精度会变差。因此，在提出的方法中，我们利用几何鲁棒信息准则（GRIC）模型从基于单应性的方法或基于本质的方法中选择一种方法。选择方法后，我们通过使用RANSAC拟合平面来提取场景中的平面区域，然后以高精度检测地面上的人。实验结果证明了该方法的有效性。

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