There are 4 repositories under abnormal-behavior-detection topic.
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 abnormal is a near impossible task as it requires a lot of workforce and constant attention. Therefore, the challenge that comes up is the demand for an automatic and intelligent analysis for such video sequences. Our project comes forward as an attempt to provide solution to such a problem as the model developed is a smart surveillance system which can detect unusual or abnormal activity automatically. A method for representing the motion characteristics is described for detection and localization of unusual activities in the crowd scenes on a generalized framework which includes both a local and global range for detection of such activities.
A pytorch implementation of GCN on EllipticDataSet, and this repo provides a GCN-related layer to promote the original GCN layer.
Abnormal Behavior Recognition
Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring
A dataset includes individuals' abnormal behaviors in massive crowds.
Develop a self-supervised learning algorithm to extract deep features from millions of unlabeled signal data to identify abnormal driving behaviors
An Accurate Extraction of Facial Meta-Information Using Selective Super Resolution from Crowd Images
Abnormal behaviour detection in el-hajj