Hello everyone, welcome to my first project log! I have been learning computer vision in the past week (I did't know anything about computer vision before this project) and tried different programs related to object tracking and feature detection. Most of the material and code can be found on OpenCV's website so if you happen to be interested in learning computer vision, that's a great place to start!

Here are some of the cool things I learned in the past week: (I will post some of the code to Github in the future so if you want to try them yourself but don't want to go through all the details and errors, stay tuned!)

1. Object tracking based on colour:

• Colour separation using Python and OpenCV 4

• CamShift object tracking using Python and OpenCV 4

2. Corner detection and feature matching:

• ORB algorithm corner detection:

• Feature matching using ORB algorithm:

(It matches similar features but not always what you want, as you can see in the third picture, this algorithm drew lots of connections from the original photo to the desk.)