手势分割问题的多目标优化模型及其进化求解方法
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摘要
提出一种手势分割问题的多目标优化模型,并给出该模型的进化求解方法.建立模型时,以像素点的位置作为决策变量,以像素点的颜色与人手肤色的差值作为目标函数.此外,根据手部像素点的位置具有相关性,建立多目标分布估计算法来求解上述模型,以得到最佳的像素点集,从而形成人的手势.实验结果表明了所提出模型和方法的有效性.
A multi-objective optimization model for the problem of gesture segmentation is proposed, and a method of solving the above model based on evolutionary algorithms is presented. When building the model, the positions of a series of pixels are taken as the decision variable, and the differences between the color of the pixels and that of a hand are taken as the objective functions. In addition, a multi-objective estimation of the distribution algorithm is presented based on the correlation among the positions of the hand pixels to solve the model so as to get the best pixel set, thus forming the human gesture. The experimental results show the effectiveness of the proposed model and algorithm.
A multi-objective optimization model for the problem of gesture segmentation is proposed, and a method of solving the above model based on evolutionary algorithms is presented. When building the model, the positions of a series of pixels are taken as the decision variable, and the differences between the color of the pixels and that of a hand are taken as the objective functions. In addition, a multi-objective estimation of the distribution algorithm is presented based on the correlation among the positions of the hand pixels to solve the model so as to get the best pixel set, thus forming the human gesture. The experimental results show the effectiveness of the proposed model and algorithm.
引文
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[3]Deb K,Jain H.An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach,Part I:Solving problems with box constraints[J].IEEE Trans on Evolutionary Computation,2014,18(4):577-601.
[4]Sanghamitra B,Arpan M.An algorithm for many-objective optimization with reduced objective computations:A study in differential evolution[J].IEEE Trans on Evolutionary Computation,2015,19(3):400-413.
[5]Deb K,Pratap A,Agarwal S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-II[J].IEEE Trans on Evolutionary Conputation,2002,6(2):182-197.
[6]Zhang Q F,Zhou A M,Jin Y.RM-MEDA:A regularity model based multiobjective estimation of distribution algorithm[J].IEEE Trans on Evolutionary Computation,2007,12(1):41-63.
[7]Chai D,Ngan K N.Face segmentation using skin color map in videophone applications[J].IEEE Trans on Circuits and Systems for Video Technology,1999,9(4):551-564.
[8]Garcia C,Tziritas G.Face detection using quantized skin color regions merging and wavelet packet analysis[J].IEEE Trans on Multimedia,1999,1(3):264-277.
[9]Michael J J,James M R.Statistical color models with application to skin detection[J].Int J of Computer Vision,2002,46(1):81-96.
[10]Phung S L,Bouzerdoum A,Chai D.Skin segmentation using color pixel classification:Analysis and comparison[J].IEEE Trans on Pattern Analysis and Machine Intelligence,2005,27(1):148-154.
[11]Chai D,Bouzerdoum A.A Bayesian approach to skin color classification in ycbcr color space[C].Proc of IEEE Region Ten Conf.Singapore:IEEE,2000:421-424.
[12]Barczak A L C,Reyes N H,Abastillas M,et al.A new 2D static hand gesture colour image dataset for ASL gestures[J].Research Letters in the Information and Mathematical Sciences,2011,15(1):12-20.