OPENCV & C++ TUTORIALS - 135 | Object Tracking - 3 | FarnebackOpticalFlow()
Optical flow is crucial for various applications like motion analysis, object tracking, and video stabilization. The Farneback algorithm provides an efficient and accurate solution for estimating dense flow fields.
🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.3.0/modules...
🌠cv::FarnebackOpticalFlow() class: https://docs.opencv.org/4.3.0/de/d9e/...
🌠 You may want to watch also: • Push-up Counter Project with Python | Medi...
🌠 Stackoverflow: https://stackoverflow.com/users/11048...
🌠 Github: https://github.com/yunus-temurlenk?ta...
🌠 Twitter: / code_enjoy
🌠Hashnode: https://yunustemurlenk.hashnode.dev/
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
0:00 - Introduction
4:24 - Coding part
If you see any mistake and any advice please comment. Thanks for watching...
#opencv, #tutorial, #FarnebackOpticalFlow