Viola Jones Face Detection and Camshift Tracking Explained.

Posted: September 16, 2012 in Technology, Viola Jones face detection and tracking
Tags: , , , , , ,

Hi all,

I have made a presentation to explain Viola Jones face detection and tracking algorithm. It explains the concepts of haar features, integral image, adaboost , cascading classifiers, mean shift tracking and Camshift tracking. Please post your doubts in the comments if I have not made myself clear in explaining any concepts. I shall try my best to answer them. Thanks for watching !

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Comments
  1. Anonymous says:

    This is a great video. It helped me a lot to understand certain key points that were not clear prior to watching this video. I appreciate you posting it here.

    • jithurbide says:

      Thanks for this very good explanation. Except the OpenCV implementation, did you know another one ? I try to implement the training part and to be honest I just a little lost.

      thanks for this nice work.

  2. Joe says:

    Could you give the sub please. My english is so poor.
    Thanks.

    • Hi Joe,

      Thanks for the suggestion .Currently I am busy with my end semester exams till 20 th Dec. I shall definitely do it after that.

      Cheers,
      Ramsri

    • Mary says:

      I like this and I’d love to check it out but I am having tbulroe downloading the source code. Would you be kind enough to send me the files by email with the step by steps for installing the libraries/APIs?

  3. Muhammad Ali says:

    Hi.

    Youtube i disabled in Pakistan, Can you please upload this video on some different Site where i can watch it.

    Thank you in Advance.

  4. Nagesh says:

    Hi,Thanks for your video,really it helps me for clearing the concept of adaboost,I am dointg project for face detcion ,for that I want to do adaboost traininng,I am usiing opencv in linux & using function “./opencv_haartraining -data haarcascade -vec vecfile.vec -bg bg.txt -npos 1 -nneg 2 -nstages 3 -nsplits 1 -mem 1024 -sym – nonsym – minhitrate 0.99 -maxfalsealarm 0.5 -weighttrimming 0.95 -eqw -mode BASIC -w 20 -h 20 ”
    But this will stuck at stage 2,u ahve any idea please tell …..
    & if that not run then we can use the dataset of haar like features from opencv example”haarcascade_frontalface_default.xml”,can u explain this xml file for me
    send me some documentation on that to nagesh_kulkarni123@yahoo.com

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  5. AMine says:

    Hi, i’ve used this method for face and feature tracking but now i want to include AAM (Active Appearence Models) with it, knowing that i’m using Java i’ve found this Library :
    http://cherry.dcs.aber.ac.uk:8080/wiki/plugin
    but there is no examples in using it with OpenCv can you please guide me i’m kind of lost even if you give me a working example in C++ it will be appreaciated

  6. ketan says:

    hey can u give me this slide in which u present…
    thnx in advance..

  7. jithurbide says:

    Hello Ramsri,

    I just want to say thank you for this video. Your explanation helped me a lot to understand the viola-jones’s documentation. I have a question for you. Did you study the implementation of opencv? In the XML file, we can find a value of left and right. Do you have an idea on how to manage them?

    Once again, thank you for this video and explanation.

  8. Alec says:

    Hey, I wonder how to decide how many stages I need to train and how to train a cascade classifier. Apart from that, how many features should be chosen at each stage? Is there any theory support that? Thanks!

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