An Enhanced Algorithm Of The Statistical Training Method In Boosting-Based Face Detection
A trained cascade for face detection with a reduced number of Haar-like features should be computationally efficient. The accurate classical scheme for selecting these Haar-like features is proposed by Viola and Jones, but the training process may take weeks. Recently, there have been several heuristics reducing the training time in a dramatic way but the selected weak classifiers are not as good as those chosen by Viola and Jones, which leads to an increased number of features in the final cascade and then decreasing detection speed. Our method is an improved version of a statistical training method; it presents both faster selections and accuracy comparable to the Viola and Jones method.
Keywords: face detection, Haar-like feature, weak and strong classifier, statistical training
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