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

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

Open Surveillance

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