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OpenCV 4.5 simple optical flow GPU tutorial cuda::FarnebackOpticalFlow

This OpenCV tutorial is a very simple code example of GPU Cuda optical flow in OpenCV written in c++. The configuration of the project, code, and explanation are included for farneback Optical Flow method. Farneback algorithm is a dense method that is used to process all the pixels in the given image. The dense methods are slower but more accurate as all the pixels of the image are processed. In the following example, I am displaying just a few pixes based on a grid. I am not displaying all the pixes. In the opposite to dense method the sparse method like Lucas Kanade using just a selected subset of pixels. They are faster. Both methods have specific applications. Lucas-Kanade is widely used in tracking. The farneback can be used for the analysis of more complex movement in image scene and furder segmentation based on these changes. As dense methods are slightly slower, the GPU and Cuda implementation can lead to great performance improvements to calculate optical flow for all pixels o
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Opencv 3.1 people detection by CascadeClassifier

People detection by Cascade Classifier Opencv

The comparison of Opencv Cascade for people detections. Default opencv cascades are good one. You can simply achive better result but you need to collect the training data. On my blog you can find the datasets for car detection. There is more than 2000 positives car samples available for you and test to learn your own detector.. 
Here in this article, I just want to show my cascade compare to cascade which are default in opencv. 

LBP cascade for people detection

Also I recently publish LBP cascade for people detection. You can download 12 stage LBP cascade LBP cascade for download. There is couple or maybe more than 3 tutorials how to use detect multiscale in opencv. Just download the LBP cascade and enjoy coding in Opencv..

Cascade Classifier opencv


Haar Cascade Classifier for People detection

In this short tutorial, I would like to test some standard haar cascade in opencv 3.1. 
My first note is where you can find this cascades.
When you download opencv for windows this cascades are located in opencv/sources/data/haarcascades

In the picture i use these types of cascades. 

haarcascade_fullbody.xml

haarcascade_upperbody.xml

haarcascade_lowerbody.xml

Visually, i can rate the cascade as rly great for fullbody an lowerbody. The upperbody cascade has trouble with my source video. Which is not its fault.

Own haar like cascade

Also, I am testing some of mine own haar cascade, which are learned by different methods like gentle boost, adaboost, etc.

Red and blue are the cascades for people detection. White is haar cascade for head detection. Check the video for results.


Video of mine haar cascade.


UPDATE

Code is HERE and cascade is LBP cascade for download



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Location: Praha, Česko

Comments

  1. UnknownMarch 2, 2016 at 11:39 AM

    sample code and haar templates would be very useful, if you can disclose them and release them as open source. I would undoubtedly cite you as the author of the templates.

    ReplyDelete
    Replies
    1. VlMarch 2, 2016 at 10:50 PM

      Code is rly simple. I will release code later today or tomorrow . Give me a time to add some recommendation, info and code description.

      Delete
  2. UnknownMarch 2, 2016 at 10:17 PM

    yes，but i want to konw,can the code be used to opencv 2.4?

    ReplyDelete
  3. UnknownMarch 2, 2016 at 10:18 PM

    yes，but i want to konw,can the code be used to opencv 2.4?

    ReplyDelete
    Replies
    1. VlMarch 2, 2016 at 10:49 PM

      I hope, that the Opencv 2.4.9-2.4.11 is not problem. In some windows version of opencv 2.4.9-3.1 there is some problems.The first is 2.4.8-9 have wrong size of cascades in xml file. Also on windows, You can use debug and release. In debug mode the detect multiscale return wrong output as to many rectangles out of image boundary. In release mode there is no problem. I dont know why. On linux this is fixed.

      Delete
  4. VlMarch 2, 2016 at 10:45 PM

    Code is rly simple. I will release code later today or tomorrow . Give me a time to add some recommendation, info and code description. I hope, that the Opencv 2.4.9-2.4.11 is not problem . I am start with opencv 2.4.9 and 3.0.0 and now I am working only with 3.1. I would like to write another article how to train your own cascade. There are some tutorials but this is rly tricky part. You need a little bit experience with training.

    ReplyDelete
  5. UnknownMarch 3, 2016 at 1:35 AM

    Would love to work with the code please. thank you.

    ReplyDelete
  6. why blogMarch 4, 2016 at 12:34 PM

    This comment has been removed by the author.

    ReplyDelete
  7. why blogMarch 4, 2016 at 12:35 PM

    Would like to try out your Code by myself.

    ReplyDelete
  8. VlMarch 11, 2016 at 3:00 AM

    Code is in my new post..

    ReplyDelete
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