A new approach for real time motion imation using robust statistics and MPEG domain applied to mosaic images construction

Lluis Barceló, R. L. Felip, Xavier Binefa
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引用次数: 6

Abstract

Dominant motion estimation in video sequence is a task that must be often be solved in computer vision problems but involves a high computational cost due to the overwhelming amount of data to be treated when working in image domain. In this paper we introduce a novel technique to perform motion analysis in video sequences taking advantage of the motion information of MPEG streams and its structure, using imaginary line tracking and robust statistics to overcome the noise present in compressed domain information. In order to demonstrate the reliability of our new approach, we also show the results of its application to mosaic image construction problem.
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将鲁棒统计和MPEG域应用于拼接图像的构建,提出了一种实时运动模拟的新方法
视频序列的优势运动估计是计算机视觉问题中必须经常解决的问题,但由于在图像域工作时需要处理的数据量巨大,计算成本很高。本文介绍了一种利用MPEG流的运动信息及其结构对视频序列进行运动分析的新技术,利用虚线跟踪和鲁棒统计来克服压缩域信息中的噪声。为了证明该方法的可靠性,我们还展示了该方法在拼接图像构造问题中的应用结果。
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