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使用粒子滤波进行手部跟踪,动态转移矩阵训练得到.使用B样条曲线对手外部轮廓拟合,并引入形状空间限制维数.详细理论参考active contour由michael isard和Andrew blake完成.,The use of particle filter for hand tracking, the dynamic transfer matrix has been training. The use of B-spline curve fitting against an external
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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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基于粒子滤波与改进水平集的人手跟踪论文，论文中详细介绍了手势分割的实现算法-Based on particle filter and improve the level set of hand tracking paper, paper introduces the realization of gesture segmentation algorithm
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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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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 an
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