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 2 years ago
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…☆27Updated 2 years ago
- Python GUI application that generates images based on user prompts using the StableDiffusionPipeline model from the diffusers module. The…☆13Updated 2 years ago
- ☆20Updated last year
- Sign Language Alphabet Detection and Recognition using YOLOv8☆53Updated 2 years ago
- Crime detection in cctv footage using deep learning☆95Updated 5 years ago
- rarpit1994 / Machine-Learning-Based-Classification-of-Cervical-Cancer-Using-K-Nearest-Neighbor-Random-Forest-andCervical cancer is the second most common type of cancer that is found in the women worldwide. Generally, cancer caused due to irregular …☆10Updated 6 years ago
- Suspicious Human Activity detection on CCTV camera footage using LRCN Model.☆27Updated 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…☆32Updated 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…☆88Updated 10 months ago
- Vehicle color detection using transfer learning. Pytorch☆17Updated 5 years ago
- ☆146Updated 3 years ago
- ☆29Updated 4 years ago
- Violence Detection tutorial using pre-trained CNN and LSTM☆28Updated 6 years ago
- real-time age, gender and emotion prediction based on livestream webcam data☆31Updated 4 years ago
- Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) …☆100Updated 3 years ago
- 🎦A violence detector using MobileNetV2 pretrained model and image enhancement algorithms and face detection algorithms implemented using…☆81Updated last year
- Automatic Number Plate Recognition using Yolov8 and EasyOCR Full Course | Python☆12Updated 2 years ago
- Final Year Individual Project.☆17Updated 10 months ago
- Solved end-to-end machine learning projects☆36Updated 2 years ago
- LSTM Neutral Network Framework☆52Updated last year
- Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos…☆166Updated 2 years ago
- A course offered by Louis-Philippe Morency from Carnegie Mellon University☆20Updated 5 years ago
- ☆23Updated 2 years ago
- A human violence detection & classification system using recurrent neural networks(RNN).☆40Updated 2 years ago
- Computer Vision Project : Action Recognition on UCF101 Dataset☆39Updated 5 years ago
- saifurrehman4114 / Walking-Aid-for-Visually-Impaired-People-using-Jetson-Nano---SSD-MobileNet-Algo-Final-Year-Project-Final Year Project Title: Implementation of walking aid for Visually Impaired people on Accelerated System (Jetson Nano)☆10Updated 2 years ago
- An automated anomaly detection system on realtime CCTV videos using Deep Learning.☆20Updated 2 years ago
- Sign Language Translator for Speech and Hearing Impaired☆10Updated 5 years ago
- ☆13Updated 5 years ago
- System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor fo…☆79Updated 3 years ago