Face Detection Based on Skin Color and AdaBoost Algorithm

2014 ◽  
Vol 513-517 ◽  
pp. 1590-1594
Author(s):  
Yu Wang ◽  
Xiao Juan Ban ◽  
Xing Yang ◽  
Yi Fei Guo
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Experimental Results ◽  
Detection Methods ◽  
Color Segmentation ◽  
False Alarms ◽  
Color Feature ◽  
Adaboost Algorithm

Skin color segmentation and AdaBoost algorithm always play important roles in various face detection methods. To combine the two smoothly, this paper investigates face detection methods based on skin color feature and AdaBoost algorithm. Experimental results show that the proposed methods can effectively reduce the false alarms.

scholarly journals FACE DETECTION ON GRAYSCALE AND COLOR IMAGES USING COMBINED CASCADE OF CLASSIFIERS

2014 ◽  
pp. 61-71
Author(s):  
Yuriy Kurylyak ◽  
Ihor Paliy ◽  
Anatoly Sachenko ◽  
Amine Chohra ◽  
Kurosh Madani
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Detection System ◽  
Color Space ◽  
Color Images ◽  
Detection Methods ◽  
Color Segmentation ◽  
Detection Rates ◽  
Verification Method ◽  
High Processing Speed

The paper describes improved face detection methods for grayscale and color images using the combined cascade of classifiers and skin color segmentation. The combined cascade with proposed face candidates’ verification method allows achieving one of the best detection rates on CMU test set and a high processing speed suitable for a video flow processing. It’s also shown that the mixture of color spaces is more efficient during the skin color segmentation than the application of one color space. A lot of experiments are made to choose rational parameters for the developed face detection system in order to improve the detection rate, false positives’ number and system’s speed.

A Novel Approach of Face Detection Based on Skin Color Segmentation and SVM

2011 ◽  
Vol 225-226 ◽  
pp. 437-441
Author(s):  
Jing Zhang ◽  
You Li
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Information Access ◽  
Color Segmentation ◽  
Support Vector ◽  
Svm Classifier ◽  
Novel Approach ◽  
Great Performance ◽  
Face Detection And Recognition ◽  
Detection And Recognition

Nowadays, face detection and recognition have gained importance in security and information access. In this paper, an efficient method of face detection based on skin color segmentation and Support Vector Machine(SVM) is proposed. Firstly, segmenting image using color model to filter candidate faces roughly; And then Eye-analogue segments at a given scale are discovered by finding regions which are darker than their neighborhoods to filter candidate faces farther; at the end, SVM classifier is used to detect face feature in the test image, SVM has great performance in classification task. Our tests in this paper are based on MIT face database. The experimental results demonstrate that the proposed method is encouraging with a successful detection rate.

scholarly journals Face Detection using Fuzzy Skin Color Segmentation

2014 ◽  
Vol 85 (14) ◽  
pp. 29-34
Author(s):  
Sabiha Sultana ◽  
Md. Saiful Islam ◽  
Md. Golam Moazzam
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Color Segmentation
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