期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2013
卷号：7
期号：4
页码：385-394
出版社：Computer Science Journals
摘要：Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on the individual pixels. This paper, which extended our previous work [1], presented a new region- based technique for skin color detection which outperformed the current state-of-the-art pixel- based skin color detection technique on the popular Compaq dataset [2]. Color and spatial distance based clustering technique is used to extract the regions from the images, also known as superpixels followed by a state-of-the-art non-parametric pixel-based skin color classifier called the basic skin color classifier. The pixel-based skin color evidence is then aggregated to classify the superpixels. Finally, the Conditional Random Field (CRF) is applied to further improve the results. As CRF operates over superpixels, the computational overhead is minimal. Our technique achieved 91.17% true positive rate with 13.12% false negative rate on the Compaq dataset tested over approximately 14,000 web images.
关键词：Skin Color Detection; Bayes Classifier; Superpixels; MRF.
