SIDD2310 / Abnormal-Activity-Detection-Deep-LearningLinks
Abnormal Activity Detection using Deep Learning LRCN is a model that combines CNN and RNN to identify abnormal behavior in videos. With reduced layers, resized frames, and augmented datasets, it achieves an 82% accuracy, making it suitable for real-time applications like surveillance and anomaly detection.
☆10Updated last year
Alternatives and similar repositories for Abnormal-Activity-Detection-Deep-Learning
Users that are interested in Abnormal-Activity-Detection-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get th…☆26Updated 2 years ago
- ☆20Updated 10 months ago
- Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even…☆80Updated 5 months ago
- ☆37Updated last year
- Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) …☆98Updated 3 years ago
- Real Time Violence Detection using MobileNet and Bi-directional LSTM☆18Updated 2 years ago
- # Abnormal-Human-Activity-Detection With the increase in the amount of anti-social activities taking place in the environment, security h…☆10Updated 4 years ago
- ADAG (Activity Detector and Alert Generator) aims to take real-time videos from CCTV as an input and pass it to the CNN model created wit…☆29Updated 4 years ago
- ☆11Updated 5 years ago
- Violence Detection tutorial using pre-trained CNN and LSTM☆28Updated 6 years ago
- Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos…☆164Updated 2 years ago
- Unsupervised deep learning system for local anomaly event detection in crowded scenes☆20Updated 5 years ago
- Efficient violence detection in surveillance videos using Human Skeletons and Motion Estimation☆49Updated last year
- A human violence detection & classification system using recurrent neural networks(RNN).☆40Updated last year
- Realtime Violence Detection with Raspberry-pi☆22Updated 3 years ago
- This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We…☆35Updated 4 years ago
- ☆144Updated 3 years ago
- Violence detection using CNN-LSTM model☆18Updated 2 years ago
- Anomaly detection in videos using deep learning.☆71Updated 4 years ago
- This project aims to minimize the police response time by detecting weapons through a live CCTV camera feed. So it alerts the police as s…☆16Updated 4 years ago
- Violence Detection using a CNN-LSTM model☆36Updated last year
- Violence Detection using 3D Convolutional Neural Networks☆71Updated 5 years ago
- LSTM Neutral Network Framework☆51Updated last year
- Live Human Activity recognition using Tensorflow transfer learning model, OpenCV and numpy with a custom Dataset by scraping the web.☆8Updated 2 years ago
- Term Project for Jianbo Shi's class CIS 680: Advanced Machine Perception☆8Updated 5 years ago
- Advanced ANPR is a system which detect and recognize all the number plates with different sizes, fonts and styles from the video, image o…☆7Updated last year
- Action-Net is a dataset containing images of 16 different human actions.☆12Updated 5 years ago
- ☆9Updated 5 years ago
- [IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that de…☆68Updated 10 months ago
- ☆8Updated 5 years ago