OPENCV & C++ TUTORIALS - 134 | Object Tracking - 2 | DISOpticalFlow class member functions

Опубликовано: 30 Сентябрь 2024
на канале: Computer Vision Lab
236
9

Optical flow is a fundamental concept in computer vision, crucial for tasks such as motion analysis, object tracking, and video stabilization. The DIS algorithm offers a robust approach to estimating dense flow fields efficiently. OpenCV library has already implemented a beautiful DISOpticalFlow class for us. This video basically shows what the meanings of member parameters are. I tried to explain via on a video example.

🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.3.0/modules...

🌠cv::DISOpticalFlow() class: https://docs.opencv.org/4.3.0/de/d4f/...

🌠 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
0:40 - Coding part

If you see any mistake and any advice please comment. Thanks for watching...

#opencv, #tutorial, #createBackgroundSubtractorMOG2