The Research of Face Detection Method Based on Adaboost Algorithm and Skin Color Segmentation

As a key pre-processing of face recognition, face detection is an important foundation of some intelligent applications such as video retrieval and human-computer interaction. The performance of the Adaboost algorithm is remarkable in the face detection methods, but there are still gaps. Concerning the high false positive rate of Adaboost algorithm, the skin color segmentation method based on Gaussian model is introduced, which is used as the front and back processing of Adaboost algorithm, respectively. Experiments show that the using of these two methods can significantly reduce the false positive rate in the detection of real-time video stream, while the skin color segmentation as a pre-processing can increase the detection speed by more than 20%, which can help achieve a stable and efficient real-time face detection system.