RenatoBMLR / state-farm-distracted-driver-detection
Automatically classification of each driver's behavior given a dataset of 2D dashboard camera images.
☆36Updated 7 years ago
Alternatives and similar repositories for state-farm-distracted-driver-detection:
Users that are interested in state-farm-distracted-driver-detection are comparing it to the libraries listed below
- Detect driver drowsiness and gaze direction☆81Updated 6 years ago
- StateFarm dataset used to predict the class of the distracted driver using VGG-16, RESNET50, XCEPTION and MOBILE NET models☆34Updated 5 years ago
- Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.☆41Updated 6 years ago
- CNN+LSTM; Video classification; Four categories(Normal; Smoking; Using mobile; Off seat)☆43Updated 7 years ago
- PyTorch-based Driver Posture Classification☆29Updated 6 years ago
- Driver fatigue detection based on eye state analysis☆46Updated 6 years ago
- Intelligent Driver Monitoring system for Autonomous Vehicles☆55Updated 4 years ago
- Driver Monitoring System by using deep learning model Gaze, Face detection, Face Landmark, and Head pose estimation.☆24Updated 4 years ago
- This project aims to detect the dangerous status of driving based on the images captured by the dashboard camera using deep learning.☆32Updated 8 years ago
- Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)☆180Updated 8 years ago
- drowsiness detection☆146Updated 5 years ago
- driver monitor system based on deep learning☆63Updated 4 years ago
- The supporting code used for the baseline temporal method on the UTA-RLDD dataset☆75Updated 3 years ago
- Eye state classification using OpenCV and DLib to estimate Percentage Eye Closure (PERCLOS) and alert a drowsy person (such as a driver).☆55Updated 5 years ago
- Action recognition network -- CNN + LSTM.☆75Updated 6 years ago
- Drowsy driver detection using Keras and convolution neural networks.☆110Updated 6 years ago
- This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.☆20Updated 7 years ago
- Object Tracking using CNN and RNN in Tensorflow☆59Updated 7 years ago
- Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)☆62Updated 2 years ago
- Uses Tensorflow Object Detection API to detect and track hands as well as estimate their distance from the camera☆70Updated 6 years ago
- [TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human drive…☆107Updated 5 years ago
- Trained MobilenetV2 model to recognize the distracted behaviors exhibited by drivers while driving. Deployed the Deep Learning model on t…☆15Updated 3 years ago
- A simple fall detection demo based on openpose☆59Updated 6 years ago
- This project is aimed to train model that detects talking and yawning from sequential images.☆17Updated 3 years ago
- ADL and Fall Detection☆68Updated 5 years ago
- Provide Guide to Autonomous Vehicle for Pedestrian Crossing Detection☆56Updated 6 years ago
- The "Driver Coach" system is based on a camera, sensors and machine learning algorithms. It monitors car driver behaviour and provides fe…☆26Updated 4 years ago
- CNN model that detects distracted drivers on the road☆18Updated 5 years ago
- abnormal behavior detection using CNN and RNN☆37Updated 7 years ago
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆139Updated 8 years ago