Face Detection by using Skin Color Model based on One Class Classifier

R. Hota, V. Venkoparao, S. Bedros
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引用次数: 12

Abstract

Human face detection plays an important role in real life application such as Face recognition, Human computer interface, Video surveillance and Face image database management. Automatic Face detection in such scenario is a challenging task. Here we propose to use skin color cue to detect face in a video sequence by modeling the skin color by an one class classifier named SVDD (Support Vector Data Descriptor). We apply the one class classifier for facial skin model on Various color transformations (YCrCb, HSV, Normalized RGB). We also examine SVDD on all the three Y, Cb and Cr and their combinations for the skin model as it is known that the non linear combination of the three gives better skin model and experiments on large set of data sets proves the robustness of the method.
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基于一类分类器的肤色模型人脸检测
人脸检测在人脸识别、人机界面、视频监控、人脸图像数据库管理等实际应用中发挥着重要作用。在这种情况下,自动人脸检测是一项具有挑战性的任务。在这里,我们提出使用肤色线索来检测视频序列中的人脸,通过一个名为SVDD(支持向量数据描述符)的单类分类器对肤色进行建模。我们将一类分类器应用于面部皮肤模型的各种颜色变换(YCrCb, HSV, Normalized RGB)。我们还检查了所有三个Y, Cb和Cr及其组合对皮肤模型的SVDD,因为众所周知,三者的非线性组合可以提供更好的皮肤模型,并且在大数据集上的实验证明了该方法的鲁棒性。
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