Performance study of gradient correlation for sub-pixel motion estimation in the frequency domain
Performance study of gradient correlation for sub-pixel motion estimation in the frequency domain
复制标题
频域亚像素运动估计梯度相关性能研究
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
T. Vlachos
中科院分区：
文献类型：
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作者：
Vasileios Argyriou;T. Vlachos
作者提出了一种性能研究的梯度相关的背景下，在视频序列中的帧间运动的估计。该方法是基于最大化的空间梯度互相关函数，这是在频域中计算，因此可以实现快速变换算法。增强基线梯度相关算法，进一步提高性能，特别是在存在噪声的情况下。还提出了一个比较性能的研究，这表明，所提出的方法优于国家的最先进的方法在频域运动估计，在相位相关的形状，在一系列的测试材料和运动场景的亚像素精度。
The authors present a performance study of gradient correlation in the context of the estimation of interframe motion in video sequences. The method is based on the maximisation of the spatial gradient cross-correlation function, which is computed in the frequency domain and therefore can be implemented by fast transformation algorithms. Enhancements to the baseline gradient-correlation algorithm are presented which further improve performance, especially in the presence of noise. A comparative performance study is also presented, which demonstrates that the proposed method outperforms state-of-the-art methods in frequency-domain motion estimation, in the shape of phase correlation, in terms of sub-pixel accuracy for a range of test material and motion scenarios.