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人体肤色分布在RGB空间非常小的范围内,利用该特征可以将肤色信息从复杂的背景中提取出来。为了有效地去除背景中与肤色相似的干扰成分,我们利用手运动为主运动的特征,通过运动聚类,将手区域提取出来,再对手区域进行肤色滤波可以有效地分割出手势。实验结果表明该方法运算量小,能够有效地进行图像分割,可以用于实时图像识别系统中。 相似文献
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A closed-loop algorithm to detect human face using color information and reinforcement learning is presented in this paper.
By using a skin-color selector, the regions with color “like” that of human skin are selected as candidates for human face.
In the next stage, the candidates are matched with a face model and given an evaluation of the match degree by the matching
module. And if the evaluation of the match result is too low, a reinforcement learning stage will start to search the best
parameters of the skin-color selector. It has been tested using many photos of various ethnic groups under various lighting
conditions, such as different light source, high light and shadow. And the experiment result proved that this algorithm is
robust to the varying lighting conditions and personal conditions.
Project supported by the National Natural Science Foundation of China (No. 60105003) and Zhejiang Provincial Natural Science
Foundation of China (No. 600025). 相似文献
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利用对称差分、肤色模型和几何特征相结合可以快速实现视频图像中的人脸检测,具体做法是:先利用图像对称差分方法得到运动区域,再用肤色检测方法在运动区域中得到人脸候选区域,最后通过检测眼睛位置,利用人脸几何特征精确定位人脸.此方法提高了检测速度,降低了误检率,可以应用在视频监控等实时系统中. 相似文献
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