| Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme | |
| Lu, Huchuan1; Fang, Guoliang1; Shao, Xinqing1; Li, Xuelong2 | |
| 作者部门 | 光学影像分析与学习中心 |
| 2012-06-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
 |
| ISSN | 1083-4419 |
| 卷号 | 42期号:3页码:889-899 |
| 产权排序 | 4 |
| 摘要 | Human segmentation in photo images is a challenging and important problem that finds numerous applications ranging from album making and photo classification to image retrieval. Previous works on human segmentation usually demand a time-consuming training phase for complex shape-matching processes. In this paper, we propose a straightforward framework to automatically recover human bodies from color photos. Employing a coarse-to-fine strategy, we first detect a coarse torso (CT) using the multicue CT detection algorithm and then extract the accurate region of the upper body. Then, an iterative multiple oblique histogram algorithm is presented to accurately recover the lower body based on human kinematics. The performance of our algorithm is evaluated on our own data set (contains 197 images with human body region ground truth data), VOC 2006, and the 2010 data set. Experimental results demonstrate the merits of the proposed method in segmenting a person with various poses. |
| 文章类型 | Article |
| 关键词 | Graph Cuts Human Segmentation Multicue Coarse Torso Detection Algorithm (Mctd) Multiple Oblique Histogram (Moh) |
| 学科领域 | Automation & Control Systems |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TSMCB.2011.2182048 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | HUMAN-BODY CONFIGURATIONS ; PICTORIAL STRUCTURES ; NORMALIZED CUTS ; POSE ESTIMATION ; SEGMENTATION ; RECOGNITION ; CONTOUR ; PEOPLE |
| 语种 | 英语 |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000304163200025 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/20256 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116023, Peoples R China 2.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Huchuan,Fang, Guoliang,Shao, Xinqing,et al. Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2012,42(3):889-899. |
| APA | Lu, Huchuan,Fang, Guoliang,Shao, Xinqing,&Li, Xuelong.(2012).Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,42(3),889-899. |
| MLA | Lu, Huchuan,et al."Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 42.3(2012):889-899. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Segmenting Human Fro（1413KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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