Tracking a simple, marked object with OpenCV / Python - Built-in solutions

In the previous posts, we investigated different, simple, custom object tracking methods. This series wouldn't be complete, if I won't mention the built-in object tracking algorithms in OpenCV.

I don't want to write too much about them, because there are plenty of tutorials (maybe, the best to start with is this). I would like to write about the reasons, why I bother myself to write an own object tracker, which even needs a strong light source instead of just use one of the built-in solutions.

Well... The thing is that they don't really work, if the tracked object is fast. They are good and general, but they can only track objects with low speed (compared to the speed of the camera/computer).

If you are interested in the built-in algorithms, just read the article I linked below. Maybe, in your application, one of them works nicely, 

You can try them easily, the link contains a short source code where you can test all of them, also all of them is described, so try them before you write your own tracker.