搜索资源列表
HMM.rar
- hmm代码 隐马尔科夫模型 用于手势识别等,hmm code hidden Markov model for gesture recognition, etc.
ddvip_com_043303061cc58a.rar
- MFC写的一个鼠标手势识别的程序，能像firfox插件那样识别鼠标手势,MFC to write a mouse gesture recognition process, so as to identify firfox mouse gestures plug-ins
matlab2.rar
- 一个很小手势识别工具. 这是我读Master的时候一个小作业. 我是用block FFT 来写的.70 -80 识别率.,A gesture recognition tool.It was a modle assigment, when I was doing my Master degree. I used block FFT. The recognition rate is round 70-80
HandRecognise
- 实现基于opencv的手势识别，训练方便，使用简单！-Opencv-based gestures to achieve the identification, training, convenient and easy to use!
handbingfeng
- 超强手势识别程序，可识别手势，和手势的方向，还可以自己制作新的手势命令。需要摄像头，此源码可立即编译运行，-Super gesture recognition program can recognize gestures, and gestures of direction, can also produce their own new gesture command. Need camera, this source can now compile and run
handgesture
- 基于opencv的手势识别程序。可以识别6种手势。-Opencv-based gesture recognition program. Can identify six kinds of gestures.
C-implement-of-hidden-markov
- HMM的c实现，对理解HMM很有用，尤其是动态手势识别中，手运动的建模基本都基于H-HMM of c realization of HMM is useful for understanding, especially in the dynamic gesture recognition, hand movements are based on modeling the basic H
xiaoyouxidaima
- 手势分类器设计,很好很强大，太强大了，真的-Gesture classifier design, very good very strong, too strong, and true
Recog
- 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
MouseGesturesDemo
- 利用MFC写的一个鼠标手势识别的DEMO程序。-MFC write using a mouse gesture recognition of the DEMO program.
system
- 手势识别系统，利用C++语言编制而成，该系统可以针对不太复杂的手势做出判断，具有一定的使用价值。该压缩文件中的read_me.txt为程序使用说明。-Gesture recognition systems, the use of C++ language prepared, the system can not determine the complexity of the gestures made with a certain value. The compressed file read_
camshift
- camshift算法，用于手势跟踪和手势识别-camshift hand tracking
marcel_test
- 基于复杂背景的人体手势识别，以及对它的鲁棒性的测试-Based on complex background of human gesture recognition, as well as its robustness test