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Model-Based Hand Gesture Tracking in ToF Image Sequences

机译：ToF图像序列中基于模型的手势跟踪

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摘要

This paper presents a Time-of-Flight (ToF) camera based system for hand motion and gesture tracking. A 27 degree of freedom (DOF) hand model is constructed and fleshed out by ellipsoids. This allows the synthesis of range images of the model through projective geometry. The hand pose is then tracked with a particle filter by statistically measuring the hypothetical pose against the ToF input image; where the inside/outside alignment of the hand pixels and the depth differences serve as classifying metrics. The high DOF tracking problem for the particle filter is addressed by reducing the high dimensionality of the joint angle space to a low dimensional space via Principal Component Analysis (PCA). The basis vectors are learned from a few basic model configurations and the transformations between these poses. This results in a system capable of practical hand tracking in a restricted gesture configuration space.
机译：本文提出了一种基于飞行时间（ToF）相机的手部动作和手势跟踪系统。构造了一个27自由度（DOF）的手模型，并通过椭球体对其进行充实。这允许通过射影几何来合成模型的范围图像。然后通过根据ToF输入图像统计地测量假设姿势，使用粒子滤波器跟踪手势。手形像素的内部/外部对齐方式和深度差异用作分类指标。通过主成分分析（PCA）将接头角空间的高维减少为低维空间，从而解决了粒子过滤器的高自由度跟踪问题。基本向量是从一些基本模型配置以及这些位姿之间的转换中学到的。这导致能够在受限的手势配置空间中实际跟踪手的系统。

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