Gesture segmentation based on a two-phase estimation of distribution algorithm

doi:10.1016/j.ins.2017.02.021

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	Gesture segmentation based on a two-phase estimation of distribution algorithm
	Liu, Ke 1; Gong, Dunwei 1,2; Meng, Fanlin 3; Chen, Huanhuan 4; Wang, Gai-Ge 5
刊名	INFORMATION SCIENCES
	2017-07
卷号	394 页码:88-105
关键词	Gesture segmentation Estimation of distribution algorithm Two-phase Probability model Sampling
ISSN号	0020-0255
DOI	10.1016/j.ins.2017.02.021
英文摘要	A multi-objective optimization model for the problem of gesture segmentation is formulated, and a method of solving the model based on a two-phase estimation of distribution algorithm is presented. When building the model, the positions of a series of pixels are taken as the decision variable, and the differences between the colors of pixels and those of a hand are taken as objective functions. A method of gesture segmentation based on a two-phase estimation of distribution algorithm is proposed according to the correlation among the positions of pixels. The method divides the solution of the problem based on evolutionary optimization into two phases, and uses different estimation of distribution algorithms in different phases. In the first phase, the probability model of candidates is formulated by a number of intervals given the fact that the positions of hand pixels distribute in several intervals. In the second phase, the probability model of candidates is built through a series of segments since the positions of hand pixels further distribute around curves. A series of pixels constituting a hand region are obtained based on sampling by the above probability models. The proposed method is applied to 2515 problems of gesture segmentation, and is compared with the existing methods. The experimental results demonstrate the effectiveness of the proposed method. (C) 2017 Elsevier Inc. All rights reserved.
资助项目	Graduate Student Research and Innovation Program of Jiangsu Province of China[2014KYLX1388]
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000396973000006
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/33223]
专题	兰州理工大学
通讯作者	Gong, Dunwei
作者单位	1.China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221116, Peoples R China 2.LanZhou Univ Technol, Sch Elect Engn & Informat Engn, Lanzhou 730050, Peoples R China 3.Univ Durham, Sch Engn & Comp Sci, Durham DH1 3LE, England 4.Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230026, Peoples R China 5.Jiangsu Normal Univ, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China
推荐引用方式 GB/T 7714	Liu, Ke,Gong, Dunwei,Meng, Fanlin,et al. Gesture segmentation based on a two-phase estimation of distribution algorithm[J]. INFORMATION SCIENCES,2017,394:88-105.
APA	Liu, Ke,Gong, Dunwei,Meng, Fanlin,Chen, Huanhuan,&Wang, Gai-Ge.(2017).Gesture segmentation based on a two-phase estimation of distribution algorithm.INFORMATION SCIENCES,394,88-105.
MLA	Liu, Ke,et al."Gesture segmentation based on a two-phase estimation of distribution algorithm".INFORMATION SCIENCES 394(2017):88-105.