@inproceedings{ad1aad182cd44d41b19c7f4729082277,
title = "Face detection in color images based on skin color models",
abstract = "Face finding is a very important initial step towards building up a fully automated face recognition system. Face detection by detecting skin like colors can achieve a high detection rate. In this paper, we presented a novel algorithm for face detection in color images with complex backgrounds. First a parallel structure for skin color detection is proposed to improve the accuracy of detections. The concept of the probability image has been introduced to utilize the color information in the traditional face detection methods specific for gray-scale images. After that, a classifier obtained from Adaboost training is applied to the result of skin detection to reduce the false positives. An experiment has been implemented to verify the improvement of this proposed research. And the proposed approach achieved a better result in this experiment.",
keywords = "Adaboost, Face detection, Face skin categorization, GMM, Skin color",
author = "Li Zou and Kamata, {Sei Ichiro}",
year = "2010",
month = dec,
day = "1",
doi = "10.1109/TENCON.2010.5686631",
language = "English",
isbn = "9781424468904",
series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",
pages = "681--686",
booktitle = "TENCON 2010 - 2010 IEEE Region 10 Conference",
note = "2010 IEEE Region 10 Conference, TENCON 2010 ; Conference date: 21-11-2010 Through 24-11-2010",
}