This repo contains C++ examples to use the following object trackers:
- Multi-Scale KCF
- Multi-Scale MOSSE (from Dlib)
Also, there is another tracker that I implemented for ARM CPUs. It extracts FAST keypoints from the detected object, tracks them by KLT algorithm, and maps the bounding box to a new box using the estimated similarity transformation between the points.
In addition to being multi-scale, all the trackers would report failures when the object is no longer in the scene or the tracking quality is below a threshold. This makes them very applicable to real-world projects. Feel free to use and send me PRs if you found better trackers :)
Go inside each folder and then:
mkdir build
cd build
cmake ..
make
Run the generated executable and enjoy! It detects face in the video using a pre-trained SSD model and then tries to track it in the subsequent frames.
If you don't have Dlib on your computer, install it via:
sudo apt-get install build-essential cmake pkg-config
sudo apt-get install libx11-dev libatlas-base-dev
sudo apt-get install libgtk-3-dev libboost-python-dev
git clone https://github.com/davisking/dlib.git
cd dlib
mkdir build
cd build
cmake .. cmake --build . --config Release
sudo make install
sudo ldconfig
For more details read my post here.