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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 fina
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粒子滤波的训练部分.理论部分参考michael isard的博士论文<Visual Motion Analysis by Probabilistic Propagation of Conditional Density>learn a dynamical matrix部分.训练集合和采集需要的图片都包含了(原用于手势跟踪,故图片均为手势图片).采集代码使用另外一个代码image_demo(已上传)-Particle filter part of the training. Micha
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gesture recognition by using accelerometer sensors
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基于matlab的机器视觉 手势识别 源代码,可用于识别手势-Based on the the the machine vision gesture recognition matlab source code, can be used to recognize gestures
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here is the matlab code for gesture recognition ..take this code..it is good .
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Code for mouse gesture recognition
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