So I have AI project about
motion detection with image subtraction.
Regardless what are the object used, if there are change between two frames according threshold value, then it will categorized as motion.
So in my project I only use
OpenCV library in python.
My program take two input. Where first frame or background frame will assumed/labeled as no motion frame for a refference. Second frame is any frame that captured currently.
So, with just using image processing like
resizing -> grayscaling -> blurring -> substracting (absdiff) -> thresholding
Basically my program/project is just comparing between two images if there are changes in its pixel.
Beside my project is related to computer vision obviously, is my project related to machine learning too? Especifically
supervised learning because I labelled what is no motion image looks like to the machine.
But in other hand, I don't feel any statistically method where machine learning usually use it. My mathematical operation was using substracting method only.