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I am guessing he is talking about the Soft Cascade approach which is actually derived from cascade classifiers but only using a single stage with lots of weak classifiers to get more accurate detections. However this is functionality for openCV 2.4.9 which is not yet delivered as stable.
However it is quite logical that a soft cascade is indeed slow. It has to verify every single feature inside the softcascade structure before a detection gets accepted or rejected. A cascade classifier on its own could perform much faster due to the early reject stages.
