Real Time Face Detection Based on Motion and Skin Color Information

2012 ◽  
Author(s):  
Mliki Hazar ◽  
Hammami Mohamed ◽  
Ben-Abdallah Hanene
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Skin Color ◽  
Color Information

scholarly journals A Real-Time Face Detection/Tracking Methodology Using Haar-wavelets and Skin Color

2006 ◽  
Vol 13B (3) ◽  
pp. 283-294
Author(s):  
Young-Kyung Park ◽  
Hae-Jong Seo ◽  
Kyoung-Won Min ◽  
Joong-Kyu Kim
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Skin Color ◽  
Haar Wavelets

scholarly journals ANALYSIS OF HUMAN FACE RECOGNITION ALGORITHM USING PCA+FDIT IN IMAGE DATABASE FOR CRIME INVESTIGATION

2013 ◽  
Vol 4 (3) ◽  
pp. 788-796
Author(s):  
V. S. Manjula
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Face Detection ◽  
Skin Color ◽  
Back Propagation ◽  
Real Life ◽  
Hierarchical Architecture ◽  
Detection And Identification ◽  
The Face ◽  
Real Time Application

In general, the field of face recognition has lots of research that have put interest in order to detect the face and to identify it and also to track it. Many researchers have concentrated on the face identification and detection problem by using various approaches. The proposed approach is further very useful and helpful in real time application. Thus the Face Detection, Identification  which is proposed here is used to detect the faces in videos in the real time application by using the FDIT (Face Detection Identification Technique) algorithm. Thus the proposed mechanism is very help full in identifying individual persons who are been involved in the action of robbery, murder cases and terror activities. Although in face recognition the algorithm used is of histogram equalization combined with Back propagation neural network in which we recognize an unknown test image by comparing it with the known training set images that are been stored in the database. Also the proposed approach uses skin color extraction as a parameter for face detection. A multi linear training and rectangular face feature extraction are done for training, identifying and detecting.   Thus the proposed technique   is PCA + FDIT technique configuration only improved recognition for subjects in images are included in the training data.   It is very useful in identify a single person from a group of faces.   Thus the proposed technique is well suited for all kinds faces frame work for face detection and identification. The face detection and identification modules share the same hierarchical architecture. They both consist of two layers of classifiers, a layer with a set of component classifiers and a layer with a single combination classifier.  Also we have taken a real life example and simulated the algorithms in IDL Tool successfully.

Face detection using template matching and skin-color information

2007 ◽  
Vol 70 (4-6) ◽  
pp. 794-800 ◽  
Author(s):  
Zhong Jin ◽  
Zhen Lou ◽  
Jingyu Yang ◽  
Quansen Sun
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Template Matching ◽  
Color Information
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