Description: 本代码实现了对静态五种基本静态手势的识别，通过皮肤颜色模型分割人手，然后通过边界追踪得到手的轮廓，最后通过傅里叶系数识别手势-The static code of the five basic static gesture recognition, through the skin color model partition manually, and then get through the border to track the contours of the hands, and finally through the Fourier coefficient of gesture recognition Platform: |
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Author:魏志莲 |
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Description: 一个静态手势识别库，里面有详细的文档，识别效果参看http://v.youku.com/v_show/id_XODY4NTg1MTY=.html
http://v.youku.com/v_show/id_XODY4NTg2NTY=.html-A static gesture recognition library, which documents in detail to identify the effect of http://v.youku.com/v_show/id_XODY4NTg1MTY=.html http://v.youku.com/v_show/id_XODY4NTg2NTY=.html see Platform: |
Size: 2818048 |
Author:yujin liu |
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Description: 本实验中对手势识别的方法进行研究。采用的主要方法是基于BP神经网络的静态手势识别。
包含实验结果和实验报告。-In this study, the method of gesture recognition research. The main method is based on BP neural network static gesture recognition. Contains experimental results and test reports. Platform: |
Size: 11831296 |
Author:kelven |
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Description: 不同于其他kinect静态手势识别算法，使用动态时间规划算法能较好地识别动态手势。-Unlike other the kinect static gesture recognition algorithm, using the Dynamic Programming algorithm can be used to identify dynamic gestures. Platform: |
Size: 354304 |
Author:何丰泽 |
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Description: 本文对当今静态手势识别技术中的各种方法进行了详细的分析，并在此基础上，设计并实现了一套可以进行实时识别的静态手势识别系统。-In this paper a detailed analysis of the various methods of static gesture recognition technology today, and on this basis, the design and realization of a set of real-time identification of static gesture recognition system. Platform: |
Size: 40960 |
Author:史景利 |
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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 Platform: |
Size: 20480 |
Author:kankan |
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Description: Real-time, static and dynamic hand gesture recognition aords users the ability to interact with computers
in more natural and intuitive ways. The hand can be used to communicate much more information by itself
compared to computer mice, joysticks, etc. allowing a greater number of possibilities for computer interaction.
The purpose of this work was to design, develop and study a practical framework for real-time gesture recognition
that can be used in a variety of human-computer interaction applications with the aim of developing a prototype
system for controlling Microsoft PowerPointTMpresentations. Platform: |
Size: 4919296 |
Author:rca |
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Description: Real-time, static and dynamic hand gesture recognition aords users the ability to interact with computers
in more natural and intuitive ways. The hand can be used to communicate much more information by itself
compared to computer mice, joysticks, etc. allowing a greater number of possibilities for computer interaction.
The purpose of this work was to design, develop and study a practical framework for real-time gesture recognition
that can be used in a variety of human-computer interaction applications with the aim of developing a prototype
system for controlling Microsoft PowerPointTMpresentations. Platform: |
Size: 453632 |
Author:rca |
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Description: Real-time, static and dynamic hand gesture recognition aords users the ability to interact with computers
in more natural and intuitive ways. The hand can be used to communicate much more information by itself
compared to computer mice, joysticks, etc. allowing a greater number of possibilities for computer interaction.
The purpose of this work was to design, develop and study a practical framework for real-time gesture recognition
that can be used in a variety of human-computer interaction applications with the aim of developing a prototype
system for controlling Microsoft PowerPointTMpresentations. Platform: |
Size: 135168 |
Author:rca |
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Description: 手势训练库函数为静态和动态手势识别，连同源代码！-Gestures training library functions for static and dynamic gesture recognition, along with the source code! Platform: |
Size: 4586496 |
Author:孙爱 |
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Description: 了解手势识别的流程后 对静态手势的特征了解了一下，现上传几种特征提取方法的源码-Understanding the process of gesture recognition gesture after the static characteristics of understanding of what is now uploaded the source of several feature extraction method Platform: |
Size: 20480 |
Author:丁毅 |
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Description: 感知行为的影响因素包括单个关节的动作和不同关节的组态。因此提出一种新的基于关节的位置差异的特征类型，联合包括静态姿势、动作、位移在内的行为信息进行识别。采用关节在两个时间和空间区域的差异来明确地模拟个别关节动力学和不同关节的组态。然后应用主成分分析（PCA）来获得所需的特征。同时应用非参数的简捷的贝叶斯最近邻（NBNN）分类器进行多类行为的分类。这个NBNN分类器避免了帧描述符的量化，计算“图像到类别”的距离而不是“图像到图像”的距离。15到20帧的数据就足以实现手势以及动作的识别，无需应用整个视频序列，极大地缩短了延时，提高了识别效率。-Perceived behavioral factors, including single-joint movements and configure different joints. Therefore suggests a new location-based differences in the characteristics of the type of joint, the joint including a static posture, movement, displacement including behavioral information for identification. Differences in the use of the joint region both time and space explicitly configured to simulate individual joints kinetics and different joints. Then principal component analysis (PCA) to obtain the desired characteristics. At the same time a simple nonparametric Bayesian nearest neighbor (NBNN) classifier to classify many types of behavior. This avoids the frame NBNN classification descriptors to quantify computing " image to the category" distance rather than distance " image to the image" of. Data 15-20 is sufficient to achieve the gesture and action recognition, without application of the entire video sequence, which greatly reduces the latency and improve the ef Platform: |
Size: 38912 |
Author:杨杨 |
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Description: 基于深度相机的手势识别，利用深度信息设置包围盒分割手，然后使用SVM分类器对训练数据集进行训练。在静态手势测试时，我们先计算测试图像的HOG特征，然后经SVM分类得到测试结果(Based on the gesture recognition of the depth camera, the depth information is used to set the bounding box to divide the hand, and then the training data set is trained by using the SVM classifier. In the static gesture test, we first calculate the HOG features of the test image and then get the test results by the SVM classification) Platform: |
Size: 4458496 |
Author:程序员飞宇 |
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Search - static gesture recognition