A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

A curated list of background subtraction related papers and resources

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

Foreground application detection library for android.

FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

Simplified Deep Image Matting training code with keras on tensorflow

IMTSL - Incremental and Multi-feature Tensor Subspace Learning

Pytorch code for "Foreground Segmentation for Anomaly Detection in Surveillance Videos Using Deep Residual Networks" (SBRT 2017)

PyTorch Implementation for Segmentation and Saliency Prediction

Performing Foreground Detection in videos using RPCA with ADMM algorithm

A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!

Foreground detection in videos captured by moving cameras, Source code of paper: "Real-Time Hysteresis Foreground Detection in Video Captured by Moving Cameras"

Few computer vision algorithms implemented in Python for university course.

Extract face or image foreground, remove/replace image background.

A vehicle detection method that provides relevant information about traffic patterns, crash occurrences and traffic peak times in roadways. Built using MATLAB R2017a.

Part of my Image Processing assignment

Panorama and Video Processing

Python Implementation of Robust PCA