This is a C++ reimplementation of algorithm presented in "ECO Efficient Convolution Operators for Tracking" paper. For more info and implementation in Matlab visit ECO tracker.
The code mainly depends on Eigen 3.3+ and OpenCV 2.4+ library and is build via cmake.
If you want to compile and run the project, you can create a build folder first, then run the command:
mkdir build;
cd build;
cmake ..;
make;
run ./eco_tracker
- It uses fHoG feature to build feature map default, but you can extend to use CNN feature via setting USE_CNN;
- About Deep features, this project supports extracting by Caffe and NCNN, the latter is suitable for ARM platform. For more info about NCNN, you can visit NCNN;
- Extracting Color Names features will be added in recently.
Danelljan M, Bhat G, Shahbaz Khan F, et al. ECO: efficient convolution operators for tracking[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 6638-6646.