This is a collection of visual trackers' code which have been made to adapt to Visual Tracker Benchmark (OTB), making it easier to evaluate them.
Every tracker included has a Matlab run_XXX.m script of OTB's framework. Trackers in C++ will be reorganized to CMake to enable compiling across multiple platforms.
- Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Online Object Tracking: A Benchmark." CVPR (2013). [paper]
- Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Object Tracking Benchmark." TPAMI (2015). [paper] [project]
source links are attached which are the original version of code. Codes in our project may be modified and reorganized.
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KCF: João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista. "High-Speed Tracking with Kernelized Correlation Filters." TPAMI (2015). [paper] [project] [source]
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MTA: Dae Youn Lee, Jae Young Sim, Chang-Su Kim. “Multihypothesis Trajectory Analysis for Robust Visual Tracking.” CVPR (2015). [paper] [project] [source]
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Struck: S. Hare, A. Saffari, P. H. Torr. “Struck: Structured output tracking with kernels.” ICCV (2011). [paper] [project] [source]
- CMake of version higher than 3.0 is preferable. Lower one could fail in some trackers which requires C++11.
- Compiling into 64bit is preferable. Newer version of OpenCV and some other dependencies might require 64bit.
- If you are using Visual Studio to compile, please remeber to switch to
Releasemode for computing efficiency.
- If you need trackers' result and information, please refer to foolwood/benchmark_results.
这是一个收集和整理视觉跟踪器代码的项目，跟踪器代码被微调以适应OTB跟踪器评估标准，配备了对应的run_XXX.m的Matlab脚本，并且将所有C++项目以CMake进行重新组织，使之能够在不同平台下进行运行。
- 最好使用CMake 3.0以上的版本，部分跟踪器要求C++11，可能会导致低版本CMake错误。
- 最好以64位进行编译，OpenCV和一些依赖可能要求必须使用64位。
- 如果你使用Visual Studio进行编译，请记得切换到Release模式编译，以获得更快的运行速度。