Description: The first is the use of trained classifier all detected rectangle detect pedestrians in the negative when the sample picture, the rectangular frame are obviously false, to save these false rectangle for the picture, adding to negative in the initial sample collection, re-SVM training, can significantly reduce false positives. This method is called bootstrap method
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1.cpp
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