Automatic Video Object Segmentation with Opacity Estimate

  • Authors:

  • Wu-Chih Hu;Deng-Yuan Huang;Ching-Yu Yang;Jung-Fu Hsu

  • Affiliations:

  • -;-;-;-

  • Venue:
  • ICGEC '10 Proceedings of the 2010 Fourth International Conference on Genetic and Evolutionary Computing
  • Year:
  • 2010

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Abstract

This paper proposes an automatic video object segmentation with opacity estimate to obtain good alpha mattes and the foreground objects. In the proposed method, the trimap is automatically generated from the result obtained using video object segmentation based on motion information without background construction. Next, closed-form matting is used with the automatically generated trimaps to yield the alpha mattes and the foreground objects. Experimental results show that the proposed method has good performance in video object segmentation with opacity estimate.