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Description: poser软件，人体多种体态和运动模型，可以直接用做人体运动方针的饿模型-poser software, body posture and exercise a variety of models, you can make direct use of the principle of human movement hungry models
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Size: 13154304 |
Author: 徐倩 |
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Description: 人体运动姿态检测与跟踪的视频，可用于运动目标检测与跟踪的学习和理解-Human motion detection and tracking of posture video, can be used for moving target detection and tracking of learning and understanding
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Size: 374784 |
Author: zhaolong |
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Description: 基于matlab实现的对人体或者动物的分割方法，是做人体模型或者人体姿态方面的很重要的资料呀。-Matlab implementation based on human or animal segmentation method is to do human body model, or aspects of the human body posture is very important information呀.
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Size: 1720320 |
Author: zwl |
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Description: 基于opencv的人脸以及身体目标姿态跟踪，程序很有用，适合初学者学习。-Opencv-based human face and body posture tracking targets, the program is useful for beginners to learn.
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Size: 1035264 |
Author: 李明 |
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Description: 提出了一种多姿态知识模型, 并以之从人脸器官梯度图中获得候选脸的大小、位置、姿态类别和眼、嘴重心坐标, 然后
按姿态类别将候选脸与对应的模板进行匹配确认人脸. 该人脸检测算法集人脸检测、姿态估计和眼、嘴定位于一体, 具有检测速
度快的特点, 适于多姿态多人脸场合的人脸检测. 该算法只利用了图像的灰度信息, 因此对灰度图像和彩色图像的人脸检测均
适用.-Proposes a multi-gesture knowledge model, and to the organs of the gradient map from the human face to get the candidate face size, location, posture, type and eyes, mouth center coordinates, and then press the gesture categories will face a candidate to match with the corresponding template to confirm face. The set of face detection algorithms face detection, pose estimation, and eyes and mouth position in one, with detection of the characteristics of speed, suitable for Multi-pose face of occasions more than face detection. The algorithm uses only images grayscale information, so the grayscale images and color images of face detection apply.
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Size: 480256 |
Author: 天使 |
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Description: 从2d图片中提取轮廓特征，通过线性回归，建立从特征到3d人体姿态的回归函数，来实现人体3d姿态评估-Contours extracted from the 2d image features, by linear regression, the establishment of 3d human body posture from the feature to the return of function, to achieve the body posture assessment 3d
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Size: 4473856 |
Author: 哈哈 |
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Description: 近年来手势识别技术的快速发展，基于手势识别技术的人机交互应用系统的建立使得人机交互的发展前景广阔。从
手形、手势和手形手势的建模出发，介绍了模板匹配、特征提取、神经网络和隐马尔可夫模型4 种手势识别的方法，并且综述
了基于手势识别技术人机交互的发展，详细介绍了3 类人机交互系统：漫游型系统、编辑型系统和操作型系统。-The rapid progress of techniques in hand posture and gesture recognition provides a promising approach for human-computer
interaction (HCI) and based on this progress many applications are established. Basic concepts of hand posture and hand gesture, two
modelingmethods of hand posture, two key problems of hand gesture and four recognition techniques are reviewed. And three types of
HCI systems influenced by hand gesture recognition are introduced in detail.
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Size: 314368 |
Author: Decheng Yu |
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Description: 一个俄罗斯人写的使用kinect和OpenNI进行人体姿势识别的代码，可对坐姿进行识别-a project written by a Russian, using kinect and OpenNI for human posture recognition, can recognize the seated posture
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Size: 40960 |
Author: ldn |
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Description: 一个俄罗斯人写的使用kinect和OpenNI进行人体姿势识别的代码，可对坐姿进行识别-kinect relative develop examples.a project written by a Russian, using kinect and OpenNI for human posture recognition, can recognize the seated posture
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Size: 404480 |
Author: 毛东东 |
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Description: 目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关
节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.-Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.
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Size: 1655808 |
Author: liushoubao |
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Description: 人脸检测是指对于任意一副给定的图像，采用一定的策略对其进行搜索以确定其中是否含有人脸，如果是则返回一脸的位置、大小和姿态。-Face detection is a means for any one given image, the use of a certain strategy to search for it to determine whether it contains a human face, and if so return look the location, size, and posture.
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Size: 2862080 |
Author: 啾啾 |
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Description: 基于视觉的人体姿态的识别，包括识别的程序和说明doc，能识别8种静态人体姿态，准确率达90 以上-Based the visual human gesture recognition, including recognition of procedures and instructions doc can identify eight kinds of static body posture, the accuracy rate of 90 or more
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Size: 20480 |
Author: kankan |
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Description: 如果大家有用过kinect做开发，不管是使用kinect SDK还是使用OpenNI，估计都对这些库提供的人体骨骼跟踪技术有一定的好奇，心里在想，每个人穿的衣服不同，身体特点也不同，所处的环境不同，且走路或做手势时的姿势也不相同，竟然能够跟踪人体的骨架，且效果不错。那么上面的Kinect SDK和OpenNI提供给kinect开发的核心算法——人体骨架跟踪到底是怎么实现的呢？-If everyone used kinect development to do, whether it is using the the kinect SDK or use OpenNI These libraries provide the human skeleton tracking technology curiosity and thought to myself, everyone wearing different clothes, different physical characteristics, the at the different environments, and is not the same posture when walking or gesturing, and even be able to track the skeleton of the human body, and the effect is good. Above Kinect SDK and the OpenNI provided to the core algorithm kinect developed- human skeleton track in the end is how to achieve it?
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Size: 1510400 |
Author: wuwei |
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Description: ：虚拟人手操作的逼真性和准确性直接影响到仿真分析结果的可靠性。在虚拟维修作业过程
中虚拟人需要不同的手势对各种工具进行灵活操作，针对该问题提出了从模型中重构手势的思想，
并给出了一种新的关节角提取算法。首先，在人体建模软件中建造需要的目标手势并提取出骨架；
然后用算法对原有手部模型各关节角进行迭代求解，直到该手部模型姿势与目标手势一致，实现对
目标手势的重构。Jack 平台上仿真结果表明，该算法可以快速有效地提取出手部模型的关节-Realistic and accurate virtual hand operation will directly affect simulation validity. For some virtual maintenance
work virtual human might need various hand postures to deftly handle different tools. Aiming at this problem, an approach of
hand posture reconstruction from models was introduced and a new algorithm of extracting hand gesture joint angles was
introduced. Firstly, an expected hand gesture was constructed as the goal gesture in human modeling software and its
skeleton was extracted. Secondly, joint angles of initial hand model were not iteratively adjusted until the adjusted initial
human hand model well matched the goal gesture. Simulation results on Jack platform show this method can effectively
extract hand joint angles for various expected postures.
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Size: 1126400 |
Author: cp |
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Description: 基于摄像头的俄罗斯方块游戏，通过捕捉摄像头区域中人的姿势，来控制方块的形状和运动方向-Camera-based Tetris game by capturing the human posture camera area to control the shape and direction of movement of boxes
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Size: 10987520 |
Author: michael |
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Description: 人体拓扑结构及运动建模。能实现人体某一姿态的循环运动，如走路或跑步等，实现对人体运动的操作。-Topology and modeling of human movement. To achieve a certain body posture circular movement, such as walking or jogging, etc., to achieve human motion operation.
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Size: 9993216 |
Author: 杨丹青 |
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Description: 人体姿势识别 可以识别出人体的14个节点 连接节点然后得出姿势图-
人体姿势识别 可以识别出人体的14个节点 连接节点然后得出姿势图
Human body posture recognition can identify the body of the 14 nodes connected to the node and then draw a picture
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Size: 188416 |
Author: hongfang |
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Description: 人体行为识别，姿势包括跑步，打太极，行走，蹲着，具体很好的识别率-Identification of human behavior, including running posture, tai chi, walking, squatting, particularly good recognition rate
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Size: 9691136 |
Author: 郭俊杰 |
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Description: 体感机器人，根据人的身体姿态，机器人做出一样的动作，并给人第一人称的视角，给人身临其境的感觉-Robots, based on human body posture, make the same movements and give the person the first person s perspective and the feeling of being on the ground
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Size: 89088 |
Author: zmz |
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Description: OpenPose人体姿态识别项目是美国卡耐基梅隆大学（CMU）基于卷积神经网络和监督学习并以caffe为框架开发的开源库。可以实现人体动作、面部表情、手指运动等姿态估计。适用于单人和多人，具有极好的鲁棒性。是世界上首个基于深度学习的实时多人二维姿态估计应用，基于它的实例如雨后春笋般涌现。人体姿态估计技术在体育健身、动作采集、3D试衣、舆情监测等领域具有广阔的应用前景，人们更加熟悉的应用就是抖音尬舞机(OpenPost Human Attitude Recognition Project is an open source library developed by Carnegie Mellon University (CMU) based on convolutional neural network and supervised learning and caffe framework. Posture estimation such as human motion, facial expression and finger movement can be realized. It is suitable for single person and multi-person, and has excellent robustness. It is the first real-time multi-person two-dimensional attitude estimation application based on deep learning in the world. Examples based on it have sprung up like mushrooms after a spring rain. Human posture estimation technology has broad application prospects in sports fitness, motion acquisition, 3D fitting, public opinion monitoring and other fields. People are more familiar with the application of tremolo embarrassing dance machine.)
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Author: 对对对对的 |
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