Title :
Face detection based on adaboost and face contour in e-learning
Author :
Wansen Wang ; Yaya Peng
Author_Institution :
Inst. of Inf. Eng., Capital Normal Univ., Beijing, China
Abstract :
The background of this paper is the learners´ expression recognition in E-learning. In the paper, the method of the face detection based on the adaboost algorithm and a set of haar wavelet like features. To improve the performance of the detectors, the face-contour is combined with the adaboost. The experimental results demonstrate that it can find the position of the detected faces of learners in E-learning accurately.
Keywords :
Haar transforms; computer aided instruction; edge detection; emotion recognition; face recognition; feature extraction; learning (artificial intelligence); object detection; wavelet transforms; AdaBoost algorithm; Haar wavelet like features; e-learning; expression recognition; face contour; face detection; Accuracy; Classification algorithms; Electronic learning; Face; Face detection; Feature extraction; Adaboost Algorithm; E-learning; Face contour; Face detection;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818127
