• DocumentCode
    3549163
  • Title

    Accurate motion layer segmentation and matting

  • Author

    Xiao, Jiangjian ; Shah, Mubarak

  • Author_Institution
    Comput. Vision Lab., Univ. of Central Florida, Orlando, FL, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    698
  • Abstract
    Given a video sequence, obtaining accurate layer segmentation and alpha matting is very important for various applications. However, when a non-textured or smooth area is present in the scene, the segmentation based on only single motion cue usually cannot provide satisfactory results. Conversely, the most matting approaches require a smooth assumption on foreground and background to obtain a good result. In this paper, we combine the merits of motion segmentation and alpha matting technique together to simultaneously achieve high-quality layer segmentation and alpha mattes. First, we explore a general occlusion constraint and design a novel graph cuts framework to solve the layer-based motion segmentation problem for the textured regions using multiple frames. Then, an alpha matting technique is further used to refine the segmentation and resolve the non-textured ambiguities by determining proper alpha values for the foreground and background respectively.
  • Keywords
    image motion analysis; image segmentation; image sequences; image texture; natural scenes; alpha matting; graph cuts framework; motion layer segmentation; natural scenes; non-textured ambiguity resolution; occlusion; textured region; video sequence; Application software; Computer science; Computer vision; Image segmentation; Image sequences; Layout; Merging; Motion segmentation; Pixel; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.57
  • Filename
    1467510