Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme
文献类型:期刊论文
作者 | Lu, Huchuan1; Fang, Guoliang1; Shao, Xinqing1; Li, Xuelong2 |
刊名 | ieee transactions on systems man and cybernetics part b-cybernetics |
出版日期 | 2012-06-01 |
卷号 | 42期号:3页码:889-899 |
ISSN号 | 1083-4419 |
关键词 | Graph cuts human segmentation multicue coarse torso detection algorithm (MCTD) multiple oblique histogram (MOH) |
产权排序 | 4 |
合作状况 | 国内 |
中文摘要 | 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. |
英文摘要 | 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. |
学科主题 | automation & control systems ; computer science ; artificial intelligence ; computer science ; cybernetics |
WOS标题词 | science & technology ; technology |
类目[WOS] | automation & control systems ; computer science, artificial intelligence ; computer science, cybernetics |
研究领域[WOS] | automation & control systems ; computer science |
关键词[WOS] | human-body configurations ; pictorial structures ; normalized cuts ; pose estimation ; segmentation ; recognition ; contour ; people |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000304163200025 |
公开日期 | 2012-09-03 |
源URL | [http://ir.opt.ac.cn/handle/181661/20256] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
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. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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