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http://dx.doi.org/10.9708/jksci.2010.15.3.027

Performance Comparison of Skin Color Detection Algorithms by the Changes of Backgrounds  

Jang, Seok-Woo (안양대학교 디지털미디어학과)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.3, 2010 , pp. 27-35 More about this Journal
Abstract
Accurately extracting skin color regions is very important in various areas such as face recognition and tracking, facial expression recognition, adult image identification, health-care, and so forth. In this paper, we evaluate the performances of several skin color detection algorithms in indoor environments by changing the distance between the camera and the object as well as the background colors of the object. The distance is from 60cm to 120cm and the background colors are white, black, orange, pink, and yellow, respectively. The algorithms that we use for the performance evaluation are Peer algorithm, NNYUV, NNHSV, LutYUV, and Kimset algorithm. The experimental results show that NNHSV, NNYUV and LutYUV algorithm are stable, but the other algorithms are somewhat sensitive to the changes of backgrounds. As a result, we expect that the comparative experimental results of this paper will be used very effectively when developing a new skin color extraction algorithm which are very robust to dynamic real environments.
Keywords
Skin Color; Background Color; Performance Analysis; Illumination;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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