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Cascade classifiers are designed to reject false positives efficiently, maybe you want to try them out. Otherwise I have only the idea to use a multi-scale approach, maybe learn an SVM for larger windows and if there was a possible hit, pass it to another SVM, but I don't think it will be much faster...