# Bus-Driver-Behavior-Detection

**Repository Path**: cccccrush/Bus-Driver-Behavior-Detection

## Basic Information

- **Project Name**: Bus-Driver-Behavior-Detection
- **Description**: CNN+LSTM; Video classification; Four categories（Normal; Smoking; Using mobile; Off seat）
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-05-10
- **Last Updated**: 2022-01-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Bus-Driver-Behavior-Detection
CNN+Bi-directional-LSTM; Video classification; Four categories（Normal; Smoking; Using mobile; Off seat）</br>
code -> optic.py[-d The directory of dataset]: This script USES the optical flow  to process dataset images. </br>
        vgg_lstm.py: Model definition.</br>
        log_IBRD.py: Log format definition.</br>
dataset -> img -> Train-Image & Test-Image</br>
h5 -> The weights of the VGG model and the Bi-LSTM model.</br>
npy -> The feature maps of data.

The dataset you can download on [Driver Behavior Dataset](https://drive.google.com/open?id=1yFrP9yoFDqG5rfyD94IkiZWfs2YK_uYg)</br>
Package details:</br>
Python 2.7</br>
h5py 2.7.0 </br>
Keras 1.2.2 </br>
numpy 1.13.1 </br>
opencv 2.4.11 </br>
Theano 0.8.2 </br>