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

1.cpp

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．