Opencv head and people detection code cascade

 head and people detection Opencv LBP CascadeClassifier 

This LBP cascade for opencv will be available soon. People is just new version of the old one published here. Head detection is new one. Just trained.

LBP cascade description

I trained cascade just on hopefully well selected 2000 positive images and 2400 negative. Great effect has also selection of the negative samples. I need to find more about this. Same positive samples and different negative set of samples should lead to big different kind cascade property. Yes positive samples is good to have somehow unique (situation, positive, background, rotation etc). The negative samples are simple to capture. Random crop from the several pictures from vacation. Nothing special. But there is also the magic behind. Instead of try different kind of positive samples. Try the negative. Easy to collect and performance of the cascade should be rapidly different. Also, It is not necessary to have 100 percent clear negative sample. If there is 1 positive inside the negative set. Maybe more. It is not necessary something wrong. More details after release.... Soon hopefully


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  • Unknown
    Unknown January 2, 2017 at 2:25 AM

    The Article on Example LBP CascadeClassifier for head and people detection is nice.It nice to know the detail information.Thanks for Sharing the information about it.internet of things services

    • Vl
      Vl January 10, 2017 at 11:34 AM

      Cascade is available to download.. Share my page instead of yours. :D Thanks

    • Camille
      Camille May 3, 2017 at 7:31 AM

      Where is the link ?

  • Unknown
    Unknown June 6, 2017 at 11:51 AM

    Is there a classifier to detect heads from the top where faces may not be visible? If i have my camera on top of my door? face may not be available but the head? any suggestions on what would be the best classifier in that case?


  • amulet88
    amulet88 November 9, 2019 at 11:07 PM

    Thank you for sharing information. บาคาร่าออนไลน์ ดีที่สุด

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