DocumentCode :
590252
Title :
An adaptive video segmentation approach based on shape prior
Author :
Yiming Guo ; Lei Yang ; Xiaoyu Wu ; Xiaodan Pan
Author_Institution :
Digital Media Dept., Commun. Univ. of China, Beijing, China
fYear :
2012
fDate :
Oct. 30 2012-Nov. 2 2012
Firstpage :
1031
Lastpage :
1035
Abstract :
As the basic and efficient segmentation framework, GraphCut plays an important part in video segmentation area. This paper proposes a adaptive video segmentation approach based on shape prior of the foreground. Shape information with Euclidean distance measure is added to GraphCut framework to compensate instability caused by single color information. And the shape model is adaptive with the size of foreground. The experiments show segmentation results with our method is significantly better than only using the color information.
Keywords :
graph theory; image colour analysis; image segmentation; shape recognition; video signal processing; Euclidean distance measure; GraphCut framework; adaptive video segmentation; color information; foreground size; shape information; shape model; shape prior; Adaptation models; Euclidean distance; Graph theory; Image color analysis; Image segmentation; Motion segmentation; Shape; Adaptive video segmentation; GraphCut; Shape model; Shape prior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (WICT), 2012 World Congress on
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4673-4806-5
Type :
conf
DOI :
10.1109/WICT.2012.6409226
Filename :
6409226
Link To Document :
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