Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Segmenting Human From Photo Images Based on a Coarse-to-Fine Scheme
	Lu, Huchuan 1; Fang, Guoliang 1; Shao, Xinqing 1; Li, Xuelong 2
刊名	ieee transactions on systems man and cybernetics part b-cybernetics
	2012-06-01
卷号	42 期号:3 页码:889-899
关键词	Graph cuts human segmentation multicue coarse torso detection algorithm (MCTD) multiple oblique histogram (MOH)
ISSN号	1083-4419
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
内容类型	期刊论文
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.