Motion Estimation in the 3-D Gabor Domain
Motion Estimation in the 3-D Gabor Domain
复制标题
DOI：
10.1109/tip.2007.901812
复制
发表时间：
2007-08
影响因子：
10.6
通讯作者：
Mu Feng;T. Reed
中科院分区：
文献类型：
--
作者：
Mu Feng;T. Reed
运动估计方法本质上可以被广泛地分类为时空域或频域。Gabor表示是提供局部频率信息的分析框架。当应用于图像序列时，3-D Gabor表示显示时空/时空-频率（ST/STF）信息，使得能够应用具有可调节时空分辨率的鲁棒频域方法。在这项工作中，将3-D Gabor表示应用于运动分析。我们证明，分段均匀平移运动可以估计通过使用一个统一的平移运动模型在ST/STF域。与现有的时空方法相比，所得到的运动估计方法具有良好的时空分辨率和显著的抗噪声性。为了形成这个模型的基础上，我们推导出的3-D Gabor域中的平移运动的签名。最后，为了获得更高的时空分辨率，更复杂的运动，密集的运动场估计方法的发展，找到一个运动估计序列中的每个像素。
Motion estimation methods can be broadly classified as being spatiotemporal or frequency domain in nature. The Gabor representation is an analysis framework providing localized frequency information. When applied to image sequences, the 3-D Gabor representation displays spatiotemporal/spatiotemporal-frequency (st/stf) information, enabling the application of robust frequency domain methods with adjustable spatiotemporal resolution. In this work, the 3-D Gabor representation is applied to motion analysis. We demonstrate that piecewise uniform translational motion can be estimated by using a uniform translation motion model in the st/stf domain. The resulting motion estimation method exhibits both good spatiotemporal resolution and substantial noise resistance compared to existing spatiotemporal methods. To form the basis of this model, we derive the signature of the translational motion in the 3-D Gabor domain. Finally, to obtain higher spatiotemporal resolution for more complex motions, a dense motion field estimation method is developed to find a motion estimate for every pixel in the sequence.