# Abnormal_Event_Detection

**Repository Path**: transhub/Abnormal_Event_Detection

## Basic Information

- **Project Name**: Abnormal_Event_Detection
- **Description**: Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-12-10
- **Last Updated**: 2023-12-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Abnormal_Event_Detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder


Code for the [paper](https://arxiv.org/abs/1701.01546).


# Dependencies:


Install ffmpeg for Video frame extraction.


# Library based Dependencies:

numpy

sklearn

keras

tensorflow

h5py

scipy

OpenCV


# Instructions

Run processor.py with args the path of Video directory and frame rate.


Run train.py to train the model


Run test.py to test on testing data.

Run start_live_feed.py to test the model on live webcam feed.


You can adjust the threshold parameter in test.py to different values to adjust sensitivity

Datasets Recommended: Avenue Dataset for Anomaly Detection