Vehicle speed estimation based on the image motion blur using RADON transform
Vehicle speed estimation based on the image motion blur using RADON transform
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基于 RADON 变换图像运动模糊的车速估计
DOI：
10.1109/icsps.2010.5555577
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Mehdi Keshavarz Ba haghighat
中科院分区：
文献类型：
--
作者：
J. Mohammadi;R. Akbari;Mehdi Keshavarz Ba haghighat
在本文中，我们提出了一种基于静态相机拍摄的图像中出现的运动模糊来估计车速的新方法。当相机快门长时间打开时，由于相机与物体之间存在相对运动，就会出现运动模糊。模糊图像有两个不同的参数。其中之一是运动方向，另一个是运动长度。为了提取模糊图像参数，首先对图像进行傅里叶变换，然后使用Radon变换来提取运动方向。为了提取运动长度，我们使用了我们指定的方法。运动参数与车辆速度之间存在关系。最后通过成像几何、提取的模糊参数和相机参数进行速度估计。与其他目的方法相比，所提出的方法提高了测量运动模糊参数的准确性，进而提高了速度估计的准确性。
In this paper we propose a novel approach for vehicle speed estimation based on the motion blur occurring in the image taken by still camera. when the camera shutter remains open for an extended period of time, because of existence relative motion between camera and object, Motion blur is occurred. Blurred image has two different parameters. One of them is direction of motion and the other is length of motion. For extracting blurred image parameter, first, the Fourier transform is taken from image and then Radon transform is used for extracting direction of motion. For extracting length of motion, we used our purposed method. There is a relation between motion parameters and vehicle speed. Finally Speed estimation is performed by imaging geometry, extracted blur parameters and the camera parameters. Proposed method improved accuracy of measurement motion blur parameters and then accuracy of speed estimation than the others purposed methods.