Face Detection and Recognition Using Skin Color and AdaBoost Algorithm Combined with Gabor Features and SVM Classifier

2011 ◽  
Author(s):  
Alireza Tofighi ◽  
S Amirhassan Monadjemi
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Svm Classifier ◽  
Adaboost Algorithm ◽  
Gabor Features ◽  
Face Detection And Recognition ◽  
Detection And Recognition

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.

Algorithm of Video Decomposition and Video Abstraction Generation Based on Face Detection and Recognition

2014 ◽  
Vol 644-650 ◽  
pp. 4620-4623
Author(s):  
Xiao Kang Wu ◽  
Cheng Gang Xie ◽  
Qin Lu
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Feature Matching ◽  
Light Conditions ◽  
Key Frame ◽  
Video Abstraction ◽  
National University ◽  
Spectrum Feature ◽  
Face Detection And Recognition ◽  
Detection And Recognition

ion generation based on face detection and recognitionXiaokang Wu1, a, Chenggang Xie2, b, Qin Lu2, c1 National University Of Defense Technology, Changsha 410073, China;[email protected], [email protected],Keywords: face detection, face recognition, key frame, video abstractionAbstract. In order to facilitate users browse the behaviors and expressions of interesting objects in a video quickly, need to remove the redundancy information and extract key frames related to the object interested. This paper uses a fast face detection based on skin color, and recognition technology using spectrum feature matching, decompose the coupling video, and classify frames related to the object into different sets, generate a different video abstraction of each object. Experimental results show that the algorithm under different light conditions has better practicability.

A Real-Time Face Recognition System for Android Smart Phone

2013 ◽  
Vol 756-759 ◽  
pp. 4006-4010 ◽  
Author(s):  
Gang Yang ◽  
Jia Ni Luo
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Face Detection ◽  
Smart Phone ◽  
Recognition System ◽  
Adaboost Algorithm ◽  
Face Recognition System ◽  
Android Platform ◽  
Face Detection And Recognition ◽  
Detection And Recognition

With the widely application of face recognition and the rapid development of Android OS, technique of face detection and recognition based on Android platform becomes increasingly attractive. This paper presents a real-time face recognition system on Android platform. The system realizes face detection by applying AdaBoost algorithm and face recognition by utilizing Eigenfaces. This paper also came up with some methods to speed up the face detection and recognition process and improve the correct rate of face recognition. Experimental results show that this system is able to realize real-time face detection and recognition on Android smart phones. In addition, all the work is completed on the smart phone without using any other terminals or tools.

Sign in / Sign up

Export Citation Format

Share Document