Motion Detection Made Easy: Optical Flow in OpenCV Python

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Күн бұрын

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In this video 📝 we are going to take a look at Dense Optical Flow for Motion Detection in OpenCV Python. We will talk about what optical flow is, and what it can be used for. We will go through the code to set up dense optical flow. At the end of the video, we will see the results.
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Tags:
#OpticalFlow #ObjectTracking #OpenCV #ComputerVision

Пікірлер: 17

@NicolaiAI Жыл бұрын

Join My AI Career Program www.nicolai-nielsen.com/aicareer Enroll in My School and Technical Courses www.nicos-school.com

@tonyjacob_ Жыл бұрын

Lovely video. Keep up the good work.

@NicolaiAI Жыл бұрын

Thanks a lot for watching!

@kaipn9763 2 жыл бұрын

Is there a way to estimate the velocity of the moving object? Edit: Thank you very much for the videos. You deserve more subscribers and views.

@shayannaqvi2360 2 жыл бұрын

did u ever find an answer

@mrbahtech 2 жыл бұрын

@@shayannaqvi2360 did you find a way to find the velocity?

@timpanism Жыл бұрын

any answers to this please? hahaha

@bertnuts Жыл бұрын

There is no inherent notion of distance in an image. You can calculate velocity across the image but not actual velocity of an object.

@kevinwoodrobotics 11 ай бұрын

Yes you can estimate velocity by computing change in distance over time. You’ll have to estimate the scale appropriately to have the right magnitude for your velocity, but at least the relative velocity will be correct. You may need to apply filtering to account for noise. Can look into low pass filtering like butterworth filters