HandsomeHans / Face Tracking Based On Opentld And Rnet
2019.01.25 UPDATE
Many people are not familiar with NCNN, and compile this repo with an error that could not find net.h. Please move to https://github.com/Tencent/ncnn to find what is NCNN and how to install it.
2018.12.20 IMPORTANT UPDATE
I extremely optimized OpenTLD, all useless contents were removed. This time, tracking speed is about 3ms. Besides, I deleted initialization funtion and OpenCV 3.x is supported now.
RK3399 20+ms/frame
Face-Tracking-Based-on-OpenTLD-and-RNet
I optimized OpenTLD making it run faster and better for face tracking.
This version of TLD below is faster and more stable than that in OpenCV. I delete some funtions to make it run faster. What is more, use RNet to judge the face that TLD produced to avoid TLD tracking a wrong target. In order to get a stable bounding box, I fix the width and height that MTCNN provides when initialising. Running speeds on my PC(Intel® Xeon(R) CPU E5-2673 v3 @ 2.40GHz × 48) are about 16ms(MTCNN, ncnn), 30ms(TLD initialization), 10ms(TLD tracking) for an image in 320*240 resolutions. Besides, MTCNN can be replaced by PCN or any other face detection algorithms.
中文地址：https://blog.csdn.net/renhanchi/article/details/85089265
Installing
OpenCV 2.4.X is required!(Now OpenCV 3.x is supported)
Install NCNN firstly, and reset your NCNN path in CMakeLists.txt.
mkdir build
cd build
cmake ..
make
cd ..
./demo
Examples
References
https://github.com/Tencent/ncnn