皮肤检测技术发展迅速,并且能够应用于检测和跟踪人体部位、计算机视觉和可视化等多个领域。然而,皮肤检测的主要困难仍然是不同程度的皮肤色调、光照条件和颜色接近肤色的背景等等。本文研究了一种新奇的基于融合策略下的动态皮肤检测,它是由一个平滑动态二维直方图、高斯混合模型和基于脸部皮肤色调颜色计算的实时动态阈值这三种检测方法融合在一起的。本研究通过人脸检测来强化肤色模型,这是因为人脸是不同色调的皮肤颜色的一个突出特征,尤其是在包含不同种族的多个人脸图像中。定性和定量实验结果表明,该方法由于其较低的计算成本和较高的精确度,比目前先进检测技术更稳定有效。The skin detection technology develops rapidly and is capable for a wide range of applications in many fields, such as detect and track the components of human body, computer vision and visualization.However,the principal obstacles faced by skin detection are still the different degrees of skin tone color, illumination conditions and skin color-like backgrounds.This paper proposes a novel skin dynamic detection based on fusion strategy, which fuses a smoothed 2-D histogram, Gaussian model and an online dynamic threshold based on the calculation of face skin tone color.In this research, we adopt face detector to refine the skin model, because face is a prominent indicator of different characteristics of skin tone color, especially in images that include more than one face with different ethnicity.Qualitatively and quantitatively experimental results show that the proposed method is more robust and effective compared to state-of-the-art methods, owing to its low computational costs and high accuracy
