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
This is an implementation for paper Decoupled appearance and motion learning for efficient anomaly detection in surveillance videos
Python code for paper: "Manifold Learning-based Clustering Approach applied toAnomaly Detection in Surveillance Videos" VISAPP/VISIGRAPP 2020
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