GitHub - JohnKeating24/DSST: the implementation of DSST(Accurate scale estimation for robust visual tracking )

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
sequences/dog1		sequences/dog1
.gitattributes		.gitattributes
.gitignore		.gitignore
MxArray.cpp		MxArray.cpp
MxArray.hpp		MxArray.hpp
README.txt		README.txt
choose_video.m		choose_video.m
compilemex.m		compilemex.m
compilemex_win.m		compilemex_win.m
compute_performance_measures.m		compute_performance_measures.m
dsst.m		dsst.m
fhog.m		fhog.m
get_feature_map.m		get_feature_map.m
get_scale_sample.m		get_scale_sample.m
get_translation_sample.m		get_translation_sample.m
gradientMex.cpp		gradientMex.cpp
gradientMex.mexa64		gradientMex.mexa64
gradientMex.mexw64		gradientMex.mexw64
libopencv_core.a		libopencv_core.a
libopencv_core.so		libopencv_core.so
libopencv_imgproc.a		libopencv_imgproc.a
libopencv_imgproc.so		libopencv_imgproc.so
load_video_info.m		load_video_info.m
mexResize.cpp		mexResize.cpp
mexResize.mexa64		mexResize.mexa64
mexResize.mexw64		mexResize.mexw64
opencv_core242.dll		opencv_core242.dll
opencv_imgproc242.dll		opencv_imgproc242.dll
run_tracker.m		run_tracker.m

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This MATLAB code implements the Discriminative Scale Space Tracker (DSST) [1]. The implementation is built upon the code provided by [2]. The code provided by [3] is used for computing the HOG features.

The project website is:
http://www.cvl.isy.liu.se/research/objrec/visualtracking/index.html

Installation:
To be able to run the "mexResize" function, try to use either one of the included mex-files or compile one of your own. OpenCV is needed for this. The existing compile scripts "compilemex.m" or "compilemex_win.m" can be modified for this purpose.

Instructions:
1) Run the "run_tracker.m" script in MATLAB.
2) Choose sequence (only "dog1" is included).

Contact:
Martin Danelljan
martin.danelljan@liu.se


[1] Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg.
    "Accurate Scale Estimation for Robust Visual Tracking".
    Proceedings of the British Machine Vision Conference (BMVC), 2014.

[2] J. Henriques, R. Caseiro, P. Martins, and J. Batista.
    "Exploiting the circulant structure of tracking-by-detection with kernels."
    In ECCV, 2012.

[3] Piotr Dollár.
    "Piotr’s Image and Video Matlab Toolbox (PMT)."
    http://vision.ucsd.edu/~pdollar/toolbox/doc/index.html.