Tracker: Using Kalman Filtering to track objects (Information 2020 Spring)

(1) Setup

This code has been tested with Python 3.6.3, numpy 1.18.3, python-opencv 4.2.0, scipy 1.4.1 .

It also need some useful libraries: filterpy, imageio(opotion).

• install darknet(the newest yolov4 version) It has been test with CUDA10.1 and cudnn7.6. Detailed install steps are all in readme.md.

# 1. modify as your need CMakeLists.txt or Makefile
$ ./build.sh
# or
$ make

• test the tracker demo

$ python darknet_video.py

(2) Demo

Persons' Track

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Aeroplanes' Track

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Boats' Track

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Citation

If you find our work useful in your research, please consider citing:

@project{information2020spring,
  title={Tracker: Using Kalman Filtering to track objects},
  author={Jin Yujie},
  year={2020}
}