Used to achieve real-time visual tracking of the source. Algorithm uses correlation filtering algorithms, including KCF and DSST algorithms. These two algorithms have high processing speed, good tracking accuracy. Source code need to be compiled using Cmake. Also, you need opencv support.

cf_tracking
...........\.gitignore
...........\CMakeLists.txt
...........\README.md
...........\sample
...........\......\DSSTcpp_sample_image_sequence_linux.sh
...........\......\DSSTcpp_sample_image_sequence_windows.bat
...........\......\DSSTcpp_sample_video_linux.sh
...........\......\DSSTcpp_sample_video_windows.bat
...........\......\KCFcpp_sample_image_sequence_linux.sh
...........\......\KCFcpp_sample_image_sequence_windows.bat
...........\......\KCFcpp_sample_video_linux.sh
...........\......\KCFcpp_sample_video_windows.bat
...........\......\README.txt
...........\......\sample_sequence_compressed
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...........\......\..........................\LICENSE.txt
...........\......\..........................\sample_sequence_compressed.avi
...........\src
...........\...\3rdparty
...........\...\........\cv_ext
...........\...\........\......\init_box_selector.cpp
...........\...\........\......\init_box_selector.hpp
...........\...\........\......\math_spectrums.cpp
...........\...\........\......\math_spectrums.hpp
...........\...\........\......\psr.hpp
...........\...\........\......\shift.cpp
.........

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