单目视觉的手势识别系统，通常把人手建模成一个像素或者一块，从整体上分析手势的运动参数并提取表观特征。
Monocular hand gesture recognition systems usually model a human hand as a pixel or a blob by which the motion of the whole hand are analyzed and the appearance features are extracted.
前一种方法是在去除目标影子的前提下，提取运动目标整体形状的不变矩特征，然后利用BP人工神经网络进行目标的识别。
The former first eliminate the shadow of moving objects, and then extract shape invariant moment characteristics of object's whole region and identify them by a BP neural network.
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