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Aiming at unloading the high training time burden of the popular cascaded classifier, in this paper, a novel cascade structure called Fea-Accu cascade is proposed. In Fea-Accu cascade training, the times of feature selection are largely reduced by enhancing the correlation among different stage classifiers of the cascaded classifier. In detail, for each stage classifier, before selecting new features...
AdaBoost algorithm is an efficient face detection method whose effectiveness is mainly influenced by the selection of weak classifier during the early process of training. To some extent, the selection of weak classifier depends on the selected sample set. Thus the training sample set is one of the most important factors in face detection. In this paper, the relationship between cascade classifier...
The future interactive TV will automatically provide user-personalized services for each viewer. For the automatic user-personalized services, the interactive TV should recognize viewers and even their emotions or preferences. In this paper, we introduce a novel architecture of the future interactive TV and propose a real-time face analysis system that can detect and recognize human faces and even...
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