OPENCV & C++ TUTORIALS - 145 | Kalman Filter Transition Matrix
Kalman Filter is used in many engineering systems in the world. In this video we focused on the Computer vision side. This video contains a simple simulation example to understand the transition matrix of kalman filter transition matrix in Object tracking. In Computer vision we use Kalman filter to estimate the next destination points of a motion by giving the observed data into it as input.
🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.3.0/modules...
🌠Kalman Filter class: https://docs.opencv.org/4.3.0/dd/d6a/...
🌠 You may want to watch also: • C++ Machine Learning Project - 1 | Getting...
🌠 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
0:30 - Coding part & Results
If you see any mistake and any advice please comment. Thanks for watching...
#opencv, #transitionMatrix, #KalmanFilter