SIDD2310 / Abnormal-Activity-Detection-Deep-Learning
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.
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Abnormal-Activity-Detection-Deep-Learning
- Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get th…☆23Updated last year
- # Abnormal-Human-Activity-Detection With the increase in the amount of anti-social activities taking place in the environment, security h…☆9Updated 3 years ago
- Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) …☆91Updated 2 years ago
- ☆34Updated last year
- Efficient violence detection in surveillance videos using Human Skeletons and Motion Estimation☆43Updated last year
- 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 5 months 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…☆25Updated 4 years ago
- ☆18Updated 4 months ago
- Suspicious Human Activity detection on CCTV camera footage using LRCN Model.☆21Updated 3 years ago
- Term Project for Jianbo Shi's class CIS 680: Advanced Machine Perception☆8Updated 4 years ago
- Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos…☆157Updated last year
- Sign Language Alphabet Detection and Recognition using YOLOv8☆38Updated last year
- Violence Detection tutorial using pre-trained CNN and LSTM☆27Updated 5 years ago
- Action-Net is a dataset containing images of 16 different human actions.☆12Updated 5 years ago
- Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even…☆58Updated 2 years ago
- Computer Vision Project : Action Recognition on UCF101 Dataset☆38Updated 4 years ago
- Violence Detection using 3D Convolutional Neural Networks☆64Updated 4 years ago
- Crime detection in cctv footage using deep learning☆84Updated 4 years ago
- 🎦A violence detector using MobileNetV2 pretrained model and image enhancement algorithms and face detection algorithms implemented using…☆62Updated 4 months ago
- ☆19Updated last year
- Anomaly detection in videos using deep learning.☆69Updated 3 years ago
- ☆127Updated 2 years ago
- A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for…☆9Updated 5 years ago
- The shoplifting prevention solution based on action recognition pipeline.☆38Updated 4 years ago
- Automatic Number Plate Recognition (ANPR) Using YOLOv8 and easyOCR☆28Updated last year
- This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We…☆29Updated 3 years ago
- ☆11Updated 4 years ago
- Vehicle counting system with YOLOv8 and DeepSORT☆8Updated last year
- The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restrict…☆95Updated 2 years ago
- This is the official implementation of the paper namely Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveil…☆13Updated 3 years ago