Python Jupyter Notebook detailing theory aspects of Motion History Images as a powerful Computer Vision tool to capture moving objects in a sequence of images and represent their motion in a single 2D image. Examples on a sample dataset are also provided.
This work is based on the reference paper: https://web.cse.ohio-state.edu/~davis.1719/Publications/event01.pdf by James W. Davis, 2015.