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
Link To Document :
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