Efficient Face Detection using Adaboost and Facial Color

We propose a cascade face detection model using the Adaboost algorithm and a face/non-face classifier using facial color. The face/non-face classifier using facial color has low computational cost and can reject non-face subwindows in the early stage of the cascade face detector. The proposed model rejects many false alarms and reduces the overall computation time of face detection.