Vehicle_Tracking
OpenCV 3 & Keras implementation of vehicles tracking with video data.
Algorithm
- Object Detection: MOG2
- Object Tracking: KCF
- Object Classification: CNN
Requirement
- Python 3.6
- OpenCV 3.2 + contrib
- Tensorflow-gpu 1.0
- Keras 1.2
Data
We train our CNN model with MIT's vehicle and pedestrian data, click here to download the original data and the processed data.
Video data is saved in the video folder.
CNN Model
The CNN model we use is as follows：
Result
Run the following command to execute the program.
python track.py --file "car.flv"
