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结合时空信息的视频对象平面自动提取算法

Automatic Extraction of Video Object Plane by Integrating Spatio-Temporal Information

  • 摘要: 提出一种视频对象平面自动提取算法,首先以时域帧间运动信息为依据,利用高斯检验方法得到初始的二值运动模板,并建立双尺度邻域的MRF模型进一步检验,以获取平滑、完整的运动模板;然后提出了结合非线性变换的改进分水岭算法对运动区域进行帧内空域分割;最后对时域和空域分割结果进行比重运算,提取最终运动对象.实验结果说明了该算法的有效性.

     

    Abstract: An automatic video object plane extraction algorithm is proposed.At first,a binary moving mask is obtained by Gaussianity test based on temporal motion information,followed by a further test by establishing MRF model on double-scale neighborhood to achieve smooth and complete binary moving mask. Then,an improved watershed algorithm based on nonlinear transform is employed to segment moving regions.Finally,moving objects are extracted by performing ratio operation on spatial and temporal results. Experimental results validate the proposed algorithm.

     

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