SHEN Xiang, ZHU Jian-hong. Face detection based on skin color and improved Adaboost algorithm[J]. 2019, (4): 143-145. DOI: 10.13873/J.1000-9787(2019)04-0143-03.
Aiming at potential over-fitting problem in face classifier training in face detection of color image
a novel method based on skin color and improved Adaboost algorithm is proposed. Weight updating mode of doublethreshold is employed to avoid the over-fitting phenomenon that may occur in the classifier training. In face detection
clustering performance of skin color is used
detected skin color area are used as search candidate regions of Adaboost classifier. The experimental results show that the proposed method can effectively shorten the detection time and reduce the false detection rate in complex background.