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基于openCV的手势检测与识别代码，其中使用了基于颜色的分割算法，如果结合运动检测和减背景方法，算法将会更加稳健。-Hand gesture detection and recognition using openCV and the color based segmentation method. If, combinned with motion detection and background substraction, it supposes to be robuster.
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基于复杂背景的人体手势识别，以及在噪声干扰下的抗干扰性测试-Based on complex background of human gesture recognition, as well as noise immunity under the test
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1、基于深度摄像机的手势跟踪、手势识别、轮廓识别、运动目标坐标输出代码
2、基于Primesense公司深度图
3、技术涉及复杂图形学算法，感兴趣的朋友，希望你们能发展中国自己的识别技术发展。
4、能够运行于Window,Linux,Android系统，全球第一个能够运用Android系统深度摄像的手势跟踪实现代码。
5、有部分OpenCV函数被简化。
6、代码的思路和细节已经有发明专利保护，拒绝完全抄袭，希望在此基础上大家创新-1, the depth of the cam
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一个手势识别程序，使用有监督的神经网络实现，用户可以在窗口区域内用鼠标模拟手势，程序可以自动识别，而且可以自定义手势-a gesture recognition program based on Neural Network,the gestrue can be simulated by mouse move, furthermore, you can also define the gesture by yourself
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For the recognition of hand gestures, OpenCV and HandVu libraries are used to provide the functions
of hand tracking and recognition. When a hand gesture is recognized, the result is sent to the DDR
game through a network socket. Then, the DDR ga
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matlab实现手势模式识别的作业，实现算法为模式识别课程中介绍的简单算法-matlab gesture recognition to achieve the operating
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a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module
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This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by this scr ipt can be refined and proc
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人脸的检测，以及手势识别，有较高的识别率。-Face detection and gesture recognition, a higher recognition rate.
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opencv，基于视觉手势识别，源码以及完整论文文档-opencv, vision-based gesture recognition, source code and complete documentation papers
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Hand Gesture Recognition
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基于openCV的手势识别,用肤色的有效提取, 再经过阈值化, 和形态学变换, 得到手的轮廓, 最后采用轮廓匹配的方法, 得到识别结果-OpenCV based gesture recognition, effective use of color extraction, and then after a threshold, and morphological transformation, contours of the hand, the final contour matching me
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出并设计了基于计算机视觉的手势识别系统。采用双肤色模型和背景自适应模型进行手势分割，解决纷乱背景
下实时手势分割问题。以傅里叶描述于表缸E手势轮廓，基于BP网络建立的手势识别分类器，具有较强的自学习能力，提高了
识别率。-A hand gesture recogll主ti。n system which based on∞mputer vision is Prescn}ed in thi3 pape。A method
of combinirlg double c010r-spatial
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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 pro
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手势识别软件， Android系统。可部署到真实手机或模拟上-Gesture recognition software, Android system. Can be deployed to a real or simulated on a mobile phone
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使用kinect进行手势识别，并进行了手势分割等操作。最后高亮处理，便于察觉(Gesture recognition using Kinect, and gesture segmentation and other operations. Finally highlight, easy to detec)
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Deaf people communication technology
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hand gesture recognition based on computer vision
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HAND GESTURE RECOGNITION FOR HUMAN
COMPUTER INTERACTION
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A Study on Hand Gesture Recognition Technique
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