OPENCV & C++ TUTORIALS - 132 | createBackgroundSubtractorMOG2() | MOG2 vs KNN
Motion analysis is very important in computer vision. We use motion analysis in security systems, defence industry, medical industry, autonomous vehicles etc. We already use it in our real life. Opencv library also has 2 implemented method for motion analysis. One is Gaussian Mixture-based method and the other one is K-nearest neighbours method. This video shows how to use MOG2 motion analysis method.
🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.3.0/modules...
🌠cv::createBackgroundSubtractorMOG2() function: https://docs.opencv.org/4.3.0/de/de1/...
🌠 You may want to watch also: • Push-up Counter Project with Python |...
🌠 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
0:23 - Coding part
If you see any mistake and any advice please comment. Thanks for watching...
#opencv, #tutorial, #createBackgroundSubtractorMOG2