FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

open source background removal and masking tools useful for photogrammetry

Simplified Deep Image Matting training code with keras on tensorflow

Unsupervised, one-shot, instance-based active contour using deep learning features in python.

Multi-thread Background Subtraction Method.

Remove and Replace background in live video in real-time. Using webcam and python

Python Implementation of Robust PCA

An official repository for "Background subtraction based on Gaussian mixture models using color and depth information".

A bot that keeps on following the yellow path until it encounters a blue path.

This Jupyter notebook demonstrates image segmentation using Lazy Snapping and K-Means Clustering. It showcases how these algorithms can partition an image into segments based on pixel intensity and user-defined masks.

Labs for University course

Implementations of various foreground object extraction methods in Computer Vision

Implementation of "GrabCut": interactive foreground extraction using iterated graph cuts", in MATLAB

Collection of image processing modules like foreground extraction, contour extraction, histogram manipulation.