Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Abnormal behavior detection in the video surveillance based on yolo darknet

Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring

DeepvisionAI-backend is the code core of a desktop software providing detection/tracking of pedestrians and abnormal crowd activity using convolutional auto-encoders.

# Abnormal-Human-Activity-Detection With the increase in the amount of anti-social activities taking place in the environment, security has been given the utmost importance lately. Therefore, organizations require a constant monitoring of people and their interactions. Since this constant monitoring of data by humans to judge if the events are a…

Abnormal Behavior Recognition

A dataset includes individuals' abnormal behaviors in massive crowds.

A pytorch implementation of GCN on EllipticDataSet, and this repo provides a GCN-related layer to promote the original GCN layer.

基于 Ultralytics YOLO 的密集人群异常行为检测系统,支持跌倒、奔跑和禁入区域入侵三类检测 | Crowd abnormal behavior detection based on Ultralytics YOLO, supporting fall, running, and intrusion detection.

Develop a self-supervised learning algorithm to extract deep features from millions of unlabeled signal data to identify abnormal driving behaviors

Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring

End-to-end community security system using YOLOv8, OC-SORT, real-time video streaming, abnormal behavior analysis, and a Blazor dashboard.

An Accurate Extraction of Facial Meta-Information Using Selective Super Resolution from Crowd Images