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双语推荐：人体

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传统图像平滑能量衰减分析方法，对于人体运动图像高频分量抑制效果较差，且模糊图像边缘，运算效率较低。提出了一种依据替身运动DR算法的人体运动图像动态视点平滑能量衰减过程仿真方法，采用高斯滤波器对人体运动图像进行平滑处理，过滤人体运动图像的噪声，完整保留人体运动图像边缘信息以及细节，用替身描述人体在场景中的运动特征，替身在场景中运动并同其它人体的替身进行交互，采用局部化的人体模型提高人体运动场景的逼真度，通过人体运动图像的DR预测算法，完成人体运动图像动态视点平滑能量衰减过程分析。实验结果说明，所提方法能够确保人体运动图像边缘锐化，有效降低平滑能量、锐化边缘。
Traditional image smoothing energy attenuation analysis method, for the human body movement images high frequency component of the inhibition effect is poorer, and the fuzzy image edge, the computation efficiency is low. Put forward a kind of human movement image based on the double movement of DR algorithm dynamic viewpoint smooth energy attenuation process simulation method, the gaussian filter is adopted to human motion image smoothing, filtering the noise of the human body movement images, intact human body image edge information and details, human motion in the scene is described by using double, double motion in the scene and interact with other human body double, the localization of the human body model to improve the fidelity of human movement scene, by DR prediction algorithm of the human body movement images, complete human motion image dynamic viewpoint smooth energy attenuation process analysis. The experimental results indicate that the proposed method can ensure

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针对在当前康复理疗系统中人体跟踪存在的问题,需要实时观测被监视场景中的运动目标,分析描述他们的行为,通过对人体行为的理解和判断,才能得到相应的结论并做出相应的决策。提出一种基于人体部位的支持向量机分类器的方法,实现人体跟踪。这种方法能够捕捉在人体姿态和背景变化时的人体关节部位,利用训练的人体部位模型能够在人相互遮挡时正确检测人体部位。在检测阶段,选择一个人体部位子集,最大限度地提高检测概率,大大提高了在多人场景中的检测性能。在跟踪阶段,利用SVM分类器实现人体的有效跟踪。实验表明该方法能够在人体相互遮挡情况下,正确检测和跟踪人体。
In view of the problems that exist in human body tracking in the present rehabilitation physiotherapy system,it needs real-time observation of the moving target in the scene under monitoring,analyze and describe their behaviors.Only by understanding and judgment of human body behaviors can people obtain corresponding conclusions and make corresponding decisions.The paper proposes an SVMclassifier method based on human body parts to realize human body tracking.The method can capture human body joints when human posture or background changes.By referring to the trained human body model it can correctly detect human body parts even when they block each other. In the detection stage,it selects a human body part subset to ultimately improve the detection probability,so that it greatly enhances its detection performance in scenes where there are multiple people.In the tracking stage,it utilizes SVM classifier to realize effective human body tracking.Experiment show the method can correctly d

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人体标本是指在人体解剖学教学和科研工作中所使用的整体或局部的人体标本。根据书籍、教材和文献将人体标本进行分类,对更好地保护和使用人体标本有着非常重要的意义。
Human specimen is the whole or partial human specimen used in human anatomy teaching and research work. According to the books, textbooks and literature, we attempt to classify human specimen, it has a very important signiifcance on the protection and using of human specimen.

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人体解剖学实验室是用来进行解剖学实验教学的重要场所,人体解剖学的教学任务大多是在人体解剖学实验室里完成的,因此,加强人体解剖学实验室的环境建设,完善人体解剖学实验室的规划管理是非常必要的。
Human anatomy laboratory is an important place used for the anatomy experimental teaching,and most of the anatomy teaching tasks are conducted in the human anatomy laboratory. Therefore,this paper deals with how to strengthen the environment construction of human anatomy laboratory and how to improve its planning and management.

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在人体实时定位问题中，关节点定位成为了构建人体平面骨架模型、识别人体动作中一个重要研究课题。所以，提出了一种利用 RGB 彩色和深度信息来定位人体关节点的方法，首先利用 Kinect 来获取运动人体的 RGB 彩色和深度图像，接着根据人体所处背景的复杂程度来采用不同的人体分割方法将人体分割出来，再对得到的人体轮廓图像进行平滑处理，从而得到平滑且连通的人体轮廓二值图像，再采用细化算法提取出人体轮廓骨架，然后对关节点周围8个邻域的像素值进行分析，并结合人体各刚体部件的比例关系，对人体的16个关节点进行定位，进而构建出人体平面关节点模型。实验结果表明，与现有方法相比，该方法简单有效，能够从多种运动状态人体中提取出准确的关节点坐标，并具有较好的准确性和鲁棒性。
The calibration of joint points is an important research topic in the solution of construction of human two-di-mensional skeleton of models and recognition of human actions.In this paper,a novel approach about human body joint points calibration based on the RGB color and depth information was proposed.First of all,with the help of Kinect to get RGB color images and depth images,depending on the complexity of human background to divide the human body seg-mentation with different methods,and smoothing the obtained body contour images,body contour binary images are smooth and connected.Then body outline frames are extracted by thinning algorithm.Analyzing the joint 8-neighbor-hood pixel values,and combining with proportions of rigid body parts,sixteen joint points are calibrated.Finally,human two-dimensional joint of models are built.Experimental results show that this approach is simple and available compared with existing methods.Joint points are able to be located from human

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针对传统人体跟踪方法存在的不足,提出一种深度Histograms of Oriented Gradients（HOG）和Locally Linear Embedding（LLE）相结合的跟踪方法。首先依据图像的颜色和深度信息,结合改进的HOG表达式提取人体的特征向量;再利用流行学习LLE算法对特征向量进行降维,采用欧氏距离判别法找出每帧图像人体所在区域,并对人体区域加以标记;最后,进行人体的实时跟踪。实验结果表明：降维后的人体特征数据更有助于实现跟踪,所提出的方法应用到视频图像人体跟踪中可以有效地跟踪人体,简化了数据复杂度,明显提高人体跟踪准确率。
Aiming at the deficiencies of traditional human body tracking method,we propose a tracking method which combines the deep histograms of oriented gradients (HOG)with locally linear embedding (LLE).First,it extracts the eigenvector of human body according to the colour and depth information of the image and in conjunction with the improved HOG expression;Then it uses the popular learning LLE algorithm to reduce the dimensionality of eigenvectors,and use Euclidean distance discriminant to find out the regions where each image frame of human body is in,and marks these regions.Finally,it makes timely human body tracking.Experimental results show that the human body feature data with dimensionality reduced is more conducive to tracking realisation,and applying the proposed method to tracking the human body in video image will be more effective,which simplifies the data complexity and significantly improves the accuracy of human body tracking.

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针对现有服装人体建模方法中对非标准人体的支持不力,提出通用型三维服装人台的建模方法。在分析已有的标准和非标准人体的三维扫描数据基础上,通过定义适用于通用型人体特征参数,建立通用型人体模板数据库和相应的自动选取算法以解决非标准人体建模失真问题。由模板匹配算法从中提取相似部件进行曲线拟合插值处理后生成人体模型。实验结果表明,利用该方法有效地解决了非标准体型人体建模失真问题,并且所建立的标准和非标准体型人体在速度和精度上都得到明显的提高,为eMTM(electronic Made To Measure)的普及应用奠定基础。
In light of the inadequate support of existing clothing body modelling method on nonstandard human bodies , in this paper we propose a modelling method for universal-type 3D clothing mannequin modelling .On the basis of analysing existing scanned 3D data of standard and nonstandard human bodies , we establish a universal-type human body template database and the correspondent automatic selection algorithm through defining the feature parameters suitable for universal-type human bodies so as to solve the problem of modelling distortion in nonstandard human bodies .Template matching algorithm is used to extract similar parts , after the curve fitting and interpolation processing , the human body model is generated .Experiment results shows that the use of this method effectively resolves the distortion problem in nonstandard human body modelling , the human bodies established with both standard and nonstandard body sizes gain noticeable improvement on speed and accuracy , this lays a fou

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通过对不同电压等级、不同设备等电位带电作业时电场分布的计算，得出人体与周围设备的电场分布图。给出不同工况下人体周围的最大场强和最大畸变率，以及人体进入高电位过程中的人体电位分布，指出带电作业人员作出典型动作时，人体突出部位电场强度较大、易发生畸变。
The human body and surrounding equipment electric field distribution map is obtained by calculation of equipotential hot-line work for different voltage grades and different equipments .The map gives the maximum field strength and maximum distortion rate for the human body around in different conditions , and provides the human body potential distribution when entering the high potential area.The paper points out that the electric field of human body prominent parts is greater and prone to distortion when the hot-line worker takes typical action.

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人体上肢运动链模型的准确构建和仿真设计是进行虚拟人体运动和控制的关键技术，是实现虚拟人体运动控制和模式识别的理论前提。传统方法采用几何法、解析法等模拟人体上肢运动链模型，无法有效实现人体上肢运动链的高自由度控制模拟，产生后期搜索迟钝效应。提出一种基于分层子维空间运动规划的人体上肢运动链六自由度模型构建方法，构建人体上肢运动的各关节单元，得到上肢结构及运动学模型D-H表示方法，设计上肢运动链位姿变换，基于分层子维空间运动规划方案，得到人体上肢运动链动力学模型方程，采用六自由度全关节分析方法分析上肢运动链各关节单元，实验得出该模型构建能更好模拟人体上肢运动链模型，控制误差较传统方法减小，能有效实现人体上肢运动链的高自由度控制模拟。
The human upper limb kinematic chain model to accurately construct and the simulation design is a key technolo-gy for the virtual human motion and control, it is the theoretical premise of virtual human motion control and pattern recog-nition. The traditional method using geometric method, analytical method and simulation of human upper limb kinematic chain model, the effective realization of human upper limb motion chain of high degree of freedom control simulation is bad, and the search in the late phase of slow effect is produced. A method for constructing the human upper limb kinematic chain model of six degree of freedom space motion planning based on hierarchical sub unit is proposed, the joint construc-tion of human upper limb movement is used, and the upper structure and the kinematics model of D-H representation is ob-tained, and pose transformation design of upper limb kinematic chains is designed, sub dimension space motion planning scheme based on human upper limb

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及时补充人体正能量是健康长寿之本。本文介绍了人体正能量的内涵及其缺失的信号,并分别列举补充人体正能量的十大食物、十大药物、十大穴位,帮助人们认识及时补充人体正能量的重要性。
Supplementing positive energy in time is the foundation of health and longevity. This paper introduces the meaning of the positive energy of human body and the signal of lacking the positive energy. Ten kinds of food, ten medicinals and ten points are listed which can supplement positive energy to help people understand the importance of supplementing positive energy.

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