@inproceedings{ad197404147c49ae8d4ec4f78db08d5b,
title = "Skin colour detection using the statistical decision theory",
abstract = "Skin colour is an important attribute that can be used to detect human presence in an image. In this paper, a new method is introduced to detect skin pixels in an image based on statistical decision theory. The proposed method uses a parametric model to produce a pixel seed that represents a potential skin pixel. Then the validity of the pixel is confirmed using a moving window and the nonparametric sign test. Experiments show that the proposed method can produce very accurate skin detection results.",
author = "Gu Fang and Kwok, \{Ngai Ming\} and Gamini Dissanayake",
year = "2013",
doi = "10.4028/www.scientific.net/AMR.694-697.1891",
language = "English",
isbn = "9783037856932",
publisher = "Trans Tech Publications",
pages = "1891--1895",
booktitle = "Manufacturing Process and Equipment: Selected Peer Reviewed Papers From the 4th International Conference on Manufacturing Science and Engineering (ICMSE 2013), March 30-31, 2013, Dalian, China",
note = "International Conference on Manufacturing Science and Engineering ; Conference date: 01-01-2013",
}