Object Segmentation Based on Disparity Estimation

被引：0
|
作者：
Zhang, Qian [1 ]
Liu, Suxing [1 ]
An, Ping [1 ]
Zhang, Zhaoyang [1 ]
机构：
[1] Shanghai Univ, Sch Commun & Informat Engn, Minist Educ, Shanghai, Peoples R China
来源：
WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09) | 2009年
关键词：
Disparity estimation; locally adaptive support-weight approach; object segmentation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Object segmentation plays an important role in multi-view video analysis. In this paper, we present a new object segmentation method for multi-view video in which only the disparity is used for segmentation and the motion estimation is neglected. Firstly, a modified locally adaptive support-weight approach is proposed for disparity estimation. Then, segmentation is realized by mean-shift algorithm. The experimental results show that proposed method could segment the semantically meaningful objects from complex background with high precision.
引用
收藏
页码：1053 / 1056
页数：4
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