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!

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

It allows to analyze, edit, work with the different characteristics present in images. Like Filter Spectrum, Image Vectorizer, High Resolution Image Mosaic, Image Mosaic

Python package for good old fashioned perimeter intrusion detection systems for video protection.

anormaly Detection

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

Python Implementation of Robust PCA

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.

Panorama and Video Processing

A curated list of background subtraction related papers and resources

Face Recongnition With streamlit

IMTSL - Incremental and Multi-feature Tensor Subspace Learning

Simplified Deep Image Matting training code with keras on tensorflow

Performing Foreground Detection in videos using RPCA with ADMM algorithm

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

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

前景检测算法

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

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