Some Notes on Accuracy Constraints of Pixel Based Skin Color Detection

Mojtaba Naghdi-Nasab, G. Mirjalily, S. Almodarresi
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Abstract

In recent years color as a good cue that can be used in early stages of objects detection in digital images absorbed attention of the researchers. As a special problem, skin color detection gained high application in face detection, image content filtering and content aware video compression. In this paper, we address the problem of pixel-based skin color detection. At first, as a two class classification problem, we determine the upper bound of accessible accuracy for pixel-based skin color detection.Then the effect of the used color space on the classifier performance is examined theoretically. It is shown that which classifier can reach the upper bound of detection accuracy and then by an example we show why most parametric skin color modeling methods have validity problem.
基于像素的肤色检测精度约束的若干注意事项
近年来,颜色作为一种可以用于数字图像中早期目标检测的良好线索受到了研究人员的关注。肤色检测作为一个特殊的问题,在人脸检测、图像内容过滤和内容感知视频压缩等方面得到了广泛的应用。在本文中,我们解决了基于像素的皮肤颜色检测问题。首先,作为一个两类分类问题,我们确定了基于像素的肤色检测的可达精度上界。然后从理论上考察了颜色空间对分类器性能的影响。给出了哪些分类器可以达到检测精度的上界,并通过实例说明了大多数参数化肤色建模方法存在有效性问题的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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