Introduction

This C++ code is an implementation of the visual tracking method proposed in [1]. The implementation is based on the Matlab code provided by the authors of the paper. The implementation in C++ using openCV was done by Mostafa Izz.

Compile

Pre-requirements:

• C++ compiler with C++11 support
• OpenCV 2.4 development files
• CMake 2.8.3+

# download/clone the repo
$ mkdir build
$ cd build
$ cmake .. -DCMAKE_BUILD_TYPE=Release
$ make

Demo Run

$ cd ColorTracker
$ ./build/demo-video

API

There are two interfaces provided in the code in class "color_tracker"

1. cv::Rect track_frame(cv::Mat &current_frame) Provided to track frame by frame So, the parameters needed to be passed to the constructor are used for intializing the bounding box only.
2. void track_video(double start_second = 0, double end_second = 0) Provided to track video In the second case the video path should be provided in the parameters passed to the constructor.

There are examples on both interfaces in the file demo-video.cpp There is a simple example in the file demo-vot.cpp for usage with the VOT challenge.

The code was tested under two environments:

1- Windows 7 using visual studio 2013 with openCV 2.4.9 2- Ubuntu 14.04 with GCC 4.8.2 with openCV 2.4.9

Contact

Mostafa Izz [email protected]

References

[1] Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg and Joost van de Weijer. "Adaptive Color Attributes for Real-Time Visual Tracking". Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.