Binaries for Simple Vehicle Detection and Tracking V 1.0

Simple Vehicle Detection and Tracking an application for videos of urban traffic, employing YOLO v2 implemented in OpenCV and a custom tracker algorithm.

Copyright ©️ 2018 Carlos Wilches, Julian Quiroga

Pontificia Universidad Javeriana, Bogotá Colombia

Terms of use

This program is provided for research purposes only. Any commercial use is prohibited. If you are interested in a commercial use, please contact the copyright holder.

This program is distributed WITHOUT ANY WARRANTY.

Install

1. Install OpenCV 3.3.1 or above, with contrib modules (For DNN libraries with YOLO v2 implemented)
2. Compile main.cpp.

Usage

1. In the code, the path of the folder containing the video file must be specified in the variable folderName.
2. In the code, the video file must be specified in the variable videoName.
3. In the folder specified above, a subfolder called YOLO must be created, containing the following files, obtained from YOLO v2 website [1]:

• coco.names
• yolov2.cfg
• yolov2.weights

References:

[1] Redmon, Joseph and Farhadi, Ali, "YOLO: Real-Time Object Detection", Available at: https://pjreddie.com/darknet/yolov2/

Bugs and Comments

Please report to Carlos Wilches (c.wilches@javeriana.edu.co)