Abstract:

Face detection based on complexion and organs location is one of the classical methods widely used in the field of visual monitoring,but discriminating each complexion pixel and extracting candidate areas are very time consuming and noise sensitive, which often cannot meet the requirements of realtime face detection. The concept of skin cells is introduced to improve the speed and robustness of the processing and applied to realtime video sequence. Firstly, complexionlike regions are extracted by classifying color skin units. Secondly,candidate face region are filtered with aspect ratio of the regions. Finally,real face regions are well located by utilizing the geometrical features of eyes and mouth and their inverted triangle relation.The experimental results show that this method has high detection accuracy and satisfies the requirements of realtime face detection.

Key words: face detection;complexion segmentation;organ location;geometrical feature