surveillance-videos

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

Open Surveillance

A curated collection of papers, code, datasets, and utilities for Video Anomaly Detection, updated every Friday.

Efficient violence detection in surveillance videos using Human Skeletons and Motion Estimation

Code release for "Online Rain/Snow Removal from Surveillance Videos (TIP2021)"

deep-learning based data extraction from surveillance videos

2023 IEEE World AI IoT: Multi-Camera Face Detection and Recognition in Unconstrained Environment

Masterthesis by Fabian Hofmann (2021, @TU-Berlin/DOS)

Multi-branch Neural Networks for Anomaly Detection under adverse lighting and weather conditions

Face Recognition on SurvFace or Custom Dataset using OpenSphere

Python code for paper: "Manifold Learning-based Clustering Approach applied toAnomaly Detection in Surveillance Videos" VISAPP/VISIGRAPP 2020

This is an implementation for paper Decoupled appearance and motion learning for efficient anomaly detection in surveillance videos