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首页> 外文期刊>Journal of mobile multimedia >MOTION EXTRAPOLATION VIA HUMAN MOTION ANALYSIS
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MOTION EXTRAPOLATION VIA HUMAN MOTION ANALYSIS

机译:通过人类运动分析进行运动外推

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摘要

We propose a novel motion analysis algorithm by using the mean-shift segmentation and motion estimation technique. Mean shift algorithm is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking. For diminishing the computational complexity in searching process, an efficient block matching algorithm, cross-diamond-hexagonal search algorithm was used In the motion analysis procedure, the stick figure of object obtained by thinning process is treated as guidance to gather the statistics of motion information. The experimental results show that the proposed method can provide precise description of the behavior of object in several video sequences and extrapolate human motion seamlessly by combining different motion clips obtained from other video sequences.
机译:通过使用均值漂移分割和运动估计技术,我们提出了一种新颖的运动分析算法。均值平移算法通常根据其效率和非刚性对象跟踪的鲁棒性从视频中提取对象。为了减少搜索过程中的计算复杂度,在运动分析过程中,采用了高效的块匹配算法,十字菱形六边形搜索算法,将通过细化处理获得的对象的棒图作为运动信息统计的指导。 。实验结果表明,该方法可以准确地描述物体在多个视频序列中的行为,并且可以通过组合从其他视频序列中获得的不同运动片段来无缝推断人的运动。

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