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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(3), pp.27-35
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jang Seok-Woo 1

1안양대학교

Accredited

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.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.