tracking-people-in-surveillance-videos

This is the HKUST UROP project: AI meets Big Data (2019 Summer) carried out by SONG Sizhe and supervised by Prof. Shueng-Han Gary Chan. This project focuses on tracking people in the surveillance videos.

Usage

This project uses Yolo for people detecting, so you need to install Yolo first.

git clone https://github.com/pjreddie/darknet
cd darknet
make

Clone Yolo and compile using commands above. You may need to modify the <your directory>/darknet/Makefile to enable a GPU or OpenCV if available on your machine. At the very beginning, set the value to 1 to turn on a tool, and remember to re-compile.

A more detailed instruction can be found on Yolo official page.

After Yolo is installed, copy the scripts in this repo including process_video.py, coordinate_transform.py, id_process.py to Yolo python scripts' folder <your directory>/darknet/python.

Report

You can find the report of this project here.

Warning: Carefully choose your directory, or you may accidentally DELETE your own files. Please always read the code if you are not sure.