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Fast global motion estimation using iterative least-square estimation technique

机译:使用迭代最小二乘估计技术的快速全局运动估计

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摘要

Global motion estimation is an important task in a variety of video processing applications, such as coding, segmentation, classification/indexing, and mosaicing. The main difficulty in global motion parameter estimation resides in the disturbances due to the independently moving objects. The iterative least-square estimation (ILSE) technique [G. B. Rath and A. Makur, 1999] is commonly used in estimating a four-parameter model of global motion. In this paper, a modified ILSE (MILSE) technique is developed, which is capable of estimating the parameters with any number of macroblocks without considering them in order of rows and columns. The performance of the MILSE algorithm is analyzed and quantitatively and qualitatively compared with the ILSE technique. Experimental results show that the proposed technique is not only computationally fast but also robust to the disturbance caused by independently moving objects.
机译:全局运动估计是各种视频处理应用程序中的重要任务,例如编码,分段,分类/索引和镶嵌。全局运动参数估计的主要困难在于由于独立运动的物体引起的干扰。迭代最小二乘估计(ILSE)技术[G. B. Rath和A. Makur,1999]通常用于估计整体运动的四参数模型。在本文中,开发了一种改进的ILSE(MILSE)技术,该技术能够估计具有任意数量宏块的参数,而无需按行和列的顺序考虑它们。 MILSE算法的性能经过分析,并与ILSE技术进行了定量和定性的比较。实验结果表明,该技术不仅计算速度快,而且对由独立运动的物体引起的干扰具有鲁棒性。

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