Title
Accurate Motion Layer Segmentation And Matting
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.
Publication Date
1-1-2005
Publication Title
Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
Volume
II
Number of Pages
698-703
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/CVPR.2005.57
Copyright Status
Unknown
Socpus ID
24644521653 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/24644521653
STARS Citation
Xiao, Jiangjian and Shah, Mubarak, "Accurate Motion Layer Segmentation And Matting" (2005). Scopus Export 2000s. 4481.
https://stars.library.ucf.edu/scopus2000/4481