DocumentCode :
682797
Title :
Multi-feature-based video object extraction
Author :
Linglin Wu ; Xiaoyu Wu ; Yiming Guo ; Lei Yang ; Yao Lu
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
Volume :
01
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
51
Lastpage :
55
Abstract :
We present a multi-feature based object extraction algorithm in this paper. Cutting in from the angle of multi-feature, this algorithm combines the high-efficient and good performance Graph Cut framework. We add foreground shape information and motion estimation as a compensation of the instability of using single color information.
Keywords :
feature extraction; graph theory; motion estimation; video signal processing; foreground shape information; graph cut framework; motion estimation; multifeature-based video object extraction; Computational modeling; Image color analysis; Image segmentation; Mathematical model; Optimization; Probability; Shape; Graph Cut framework; image segmentation; object extraction; shape information; video segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
Type :
conf
DOI :
10.1109/CISP.2013.6744049
Filename :
6744049
Link To Document :
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