AUTOMATIC FOREGROUND EXTRACTION FOR IMAGES AND VIDEOS

被引：5
|
作者：
Tang, Zhen [1 ]
Miao, Zhenjiang [1 ]
Wan, Yanli [1 ]
Li, Jia [1 ]
机构：
[1] Beijing Jiaotong Univ, Inst Informat Sci, Beijing, Peoples R China
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词：
Foreground extraction; graph cut; opacity tracking; weighted kernel density estimation; salience detection;
D O I：
10.1109/ICIP.2010.5649226
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an automatic foreground extraction algorithm for images and videos is presented. It first automatically locates the foreground object coarsely by a salience detection algorithm, and then refines the object by Weighted Kernel Density Estimation (WKDE) and graph cut algorithm. A new initial probability map construction algorithm for WKDE is also presented. We then extend our algorithm to videos by an opacity tracking algorithm. It can automatically extract the foreground with high accuracy even for the videos with non-static background. The experiments demonstrate the effectiveness of our approach.
引用
收藏
页码：2993 / 2996
页数：4
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