Technical University of Munich

@inproceedings{wimmer_adaptive_2005,
 author = {M Wimmer and B Radig},
 title = {Adaptive Skin Color Classificator},
 booktitle = {Proceedings of the first International Conference on Graphics, Vision
	and Image Processing},
 year = {2005},
 editor = {al, Ashraf Aboshosha et},
 volume = {I},
 pages = {324--327},
 address = {Cairo, Egypt},
 month = {dec},
 publisher = {{ICGST}},
 abstract = {A lot of computer vision applications benefit from robust skin color
	classification. But this is a hard challenge due to the various image
	conditions like camera settings, illumination, light source, shadows
	and many more. Furthermore people?s tans and ethnic groups also extend
	those conditions. In this work we present a parametric skin color
	classifier that can be adapted to the conditions of each image or
	image sequence. This is done by evaluating some previously know skin
	color pixels which are acquired by applying a face detector. This
	approach can distinguish skin color from very similar color like
	lip color or eye brow color. Its high speed and high accuracy makes
	it appropriate for real time applications such as face tracking and
	mimic recognition.},
 isbn = {21970/2005},
}