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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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Car detection in opencv

Car detection video samples

This is one of the results achieved by the free dataset for car detection on my blog here.  I have a plan to provide some basic scripts and code samples how to learn the basic detector for opencv. This usually take some time to go through and describe all the parts. However the plan is to provide whole video for testing on google drive after some anonymization improvements in original video. Testing rof car counting, classification and trafic measurement.. This Video is not good for basic background substraction. I record this video by hand and is still little bit shaky.

car detection


3 more opencv tutorials plan

  • working with dataset positive and negative samples 
Prepare data is half of the hard work if you want to build the good detector.. 
  • some basic learning algorithm from scratch. (should take a little bit more time)
I already have some neural network. I would like to show you how easy is for implement using the opencv mat and basic and opencv math.. 
  • working with createsamples traincascade
This is great tool, but took some time, effort and skills to achieve some good results.. I would like to show some of them.. 




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  1. ukahsah15December 29, 2017 at 6:12 AM

    Superbly written article, if only all bloggers offered the same content as you, the internet would be a far better place..
    Japanese used car auctions

    ReplyDelete
  2. William PardoMay 7, 2019 at 12:23 PM

    Thank for your help..I will hope help you

    ReplyDelete

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