But currently, in the vision-based hand gesture recognition, almost all the technologies on hand gesture segmentation are based on simple background or on gloves in special colors.
但是目前基于单目视觉的手势识别技术中，手势分割要求背景简单或者要求识别者戴着笨重的 数据手套 。
This paper considers both hand segmentation and gesture modeling, and presents a method of gesture segmentation and globe and local gesture features extraction.
该文从分割和表示(建模)两方面着手，提出了一种新颖的手势分割和整体及局部手势特征提取算法。
Since Kalman filter can find background automatically, this method can be used in dynamic segmentation of hand gesture from complex background effectively.
因为卡尔曼滤波可以实现背景图像的自适应提取，该方法可有效地实现复杂背景中手部目标的动态分割。
Most gesture recognition systems use skin color model to segment hand. The segmentation results are affected by to the light, background and other conditions.
目前手势识别系统主要是利用肤色模型分割手部区域，检测结果易受光照、背景等条件影响。
Most gesture recognition systems use skin color model to segment hand. The segmentation results are affected by to the light, background and other conditions.
目前手势识别系统主要是利用肤色模型分割手部区域，检测结果易受光照、背景等条件影响。
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