Two-dimensional matched filtering for motion estimation
Two-dimensional matched filtering for motion estimation
复制标题
用于运动估计的二维匹配滤波
DOI：
10.1109/83.748900
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
P. Milanfar
中科院分区：
文献类型：
--
作者：
P. Milanfar
在这项工作中，我们描述了一种用于估计图像序列中多个叠加运动的频域技术。最小二乘最优方法涉及序列的三维 (3-D) 傅里叶变换的计算，然后检测该域中具有高能量集中的一个或多个平面。我们提出了一种更有效的算法，基于 Radon 变换和二维 (2-D) 快速傅里叶变换的特性，该算法可以牺牲很少的性能来显着节省计算量。我们通过设计适当的匹配滤波器来完成运动检测和估计。该性能在两个图像序列上进行了演示。
In this work, we describe a frequency domain technique for the estimation of multiple superimposed motions in an image sequence. The least-squares optimum approach involves the computation of the three-dimensional (3-D) Fourier transform of the sequence, followed by the detection of one or more planes in this domain with high energy concentration. We present a more efficient algorithm, based on the properties of the Radon transform and the two-dimensional (2-D) fast Fourier transform, which can sacrifice little performance for significant computational savings. We accomplish the motion detection and estimation by designing appropriate matched filters. The performance is demonstrated on two image sequences.
影响因子：
22.7
作者：
DUDA, RO;HART, PE
通讯作者：
HART, PE