Title: Face detection based on skin color segmentation and improved AdaBoost algorithm
Abstract: To solve the problem that can not detect face quickly and accurately when the detected images has complex background or contain more faces,A face detection algorithm combined with skin color segmentation and improved Adaboost algorithm is presented.Firstly,pretreatment of sample images to achieve image by using skin color segmentation,exclusion of sample images with complex background and human non-skin regions,the follow-up work has been simplified.Then the dualthreshold decision method of weak classifiers Adaboost algorithm is used to reduce the number of weak classifiers and improve the training speed.Improved weight update rules to prevent distribution of the phenomenon appeared in the training process.Finally, the improved Adaboost algorithm is used to get the final accurate face detection based on areas of the image through skin color segmentation. Simulation results show that the combination of two algorithms improved the training speed, the detection speed and detection rate has improved significantly.
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
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