Title :
Face detection based on extended Haar-like features
Author :
Chai, Chang ; Wang, Yulin
Author_Institution :
Int. Sch. of Software, Wuhan Univ., Wuhan, China
Abstract :
This paper presents a rapid solution for face detection. It is based on AdaBoost (Adaptive Boosting) learning algorithm and abstracts faces´ Haar-like features to train a classifier. At last through the OpenCV, develop a program that can detect people´s face from the video of PC camera.
Keywords :
Haar transforms; face recognition; feature extraction; learning (artificial intelligence); video signal processing; OpenCV; PC camera; abstracts faces; adaptive boosting learning algorithm; extended Haar like feature; face detection; video image processing; Cameras; XML; Adaboost; Haar-like feature; OpenCV; classifier; face detection;
Conference_Titel :
Mechanical and Electronics Engineering (ICMEE), 2010 2nd International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7479-0
Electronic_ISBN :
978-1-4244-7481-3
DOI :
10.1109/ICMEE.2010.5558512
