Kernel Density Estimation, DA and ML homework in DHU.

This project is for simple motion detection based on KDE(Kernel Density Estimation).

You can detect motion in a vedio or in a series of pictures by selecting parameter 'mode'.

You can choose a kernel function between gaussian kernel function and epanechnikov kernel function.

This file is used to tune threshold of final binary image quickly.

This compressed file includes some of results after running kde.py .

This compressed file includes some source material that can be used to motion detection.

grass: From lesson DA and ML in DHU given by Prof. Dawei Li.

ped: From Bilibili BV1fE411w7ac, uploader: @在下胖头陀 .

cr: From Bilibili BV1Mp411f7XW, uploader: @紅日浮茶 .