中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improving video foreground segmentation and propagation through multifeature fusion

文献类型:期刊论文

作者Cheng, Xiaoliu1,2; Wang, Yan1; Yuan, Xiaobing1; Li, Baoqing1; Ding, Yuanyuan1,2; Zhang, Zebin1,2
刊名JOURNAL OF ELECTRONIC IMAGING
出版日期2015-11-01
卷号24期号:6页码:12
关键词video foreground segmentation object propagation superpixels mapping feature confidence feature fusion improved Dempster-Shafer evidence theory
ISSN号1017-9909
DOI10.1117/1.JEI.24.6.063017
英文摘要Video foreground segmentation lays the foundation for many high-level visual applications. However, how to dig up the effective features for foreground propagation and how to intelligently fuse the different information are still challenging problems. We aim to deal with the above-mentioned problems, and the goal is to accurately propagate the object across the rest of the frames given an initially labeled frame. Our contributions are summarized as follows: (1) we describe the object features with superpixel-based appearance and motion clues from both global and local viewpoints. Furthermore, the objective confidences for both the appearance and motion features are also introduced to balance the different clues. (2) All the features and their confidences are intelligently fused by the improved Dempster-Shafer evidence theory instead of the empirical parameters tuning used in many algorithms. Experimental results on the two well-known SegTrack and SegTrack v2 datasets demonstrate that our algorithm can yield high-quality segmentations. (C) 2015 SPIE and IS&T
WOS研究方向Engineering ; Optics ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000375861200010
出版者IS&T & SPIE
源URL[http://119.78.100.204/handle/2XEOYT63/8556]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Cheng, Xiaoliu
作者单位1.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Wireless Sensor Network Lab, 1455 Pingcheng Rd, Shanghai 201800, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Cheng, Xiaoliu,Wang, Yan,Yuan, Xiaobing,et al. Improving video foreground segmentation and propagation through multifeature fusion[J]. JOURNAL OF ELECTRONIC IMAGING,2015,24(6):12.
APA Cheng, Xiaoliu,Wang, Yan,Yuan, Xiaobing,Li, Baoqing,Ding, Yuanyuan,&Zhang, Zebin.(2015).Improving video foreground segmentation and propagation through multifeature fusion.JOURNAL OF ELECTRONIC IMAGING,24(6),12.
MLA Cheng, Xiaoliu,et al."Improving video foreground segmentation and propagation through multifeature fusion".JOURNAL OF ELECTRONIC IMAGING 24.6(2015):12.

入库方式: OAI收割

来源:计算技术研究所

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