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Sequential and Automatic Image-Sequence Registration of Road Areas Monitored from a Hovering Helicopter

机译:悬停直升机监控的道路区域的顺序和自动图像顺序配准

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摘要

In this paper, we propose an automatic and sequential method for the registration of an image sequence of a road area without ignoring scene-induced motion. This method contributes to a larger work, aiming at vehicle tracking. A typical image sequence is recorded from a helicopter hovering above the freeway. The demand for automation is inevitable due to the large number of images and continuous changes in the traffic situation and weather conditions. A framework is designed and implemented for this purpose. The registration errors are removed in a sequential way based on two homography assumptions. First, an approximate registration is obtained, which is efficiently refined in a second step, using a restricted search area. The results of the stabilization framework are demonstrated on an image sequence consisting of 1500 images and show that our method allows a registration between arbitrary images in the sequence with a geometric error of zero in pixel accuracy.
机译:在本文中,我们提出了一种自动且连续的方法来注册道路区域的图像序列,而不会忽略场景引起的运动。该方法有助于更大的工作,旨在进行车辆跟踪。从悬停在高速公路上方的直升机记录了典型的图像序列。由于大量的图像以及交通状况和天气状况的不断变化,对自动化的需求是不可避免的。为此目的设计和实现了一个框架。基于两个单应性假设,以顺序的方式消除配准错误。首先,获得近似配准,其在第二步骤中使用受限搜索区域进行有效地细化。稳定框架的结果在包含1500张图像的图像序列上得到了证明,并表明我们的方法允许在序列中任意图像之间进行配准,像素精度的几何误差为零。

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