XU-TIANYANG / GFS-DCF

Matlab implementation of ICCV2019 paper "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking"

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

GFS-DCF

Matlab implementation of ICCV2019 paper "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking"

@article{xu2019joint, title={Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking}, author={Xu, Tianyang and Feng, Zhen-Hua and Wu, Xiao-Jun and Kittler, Josef}, journal={arXiv preprint arXiv:1907.13242}, year={2019}}

image

Dependencies: MatConvNet, PDollar Toolbox. Please download the latest MatConvNet (http://www.vlfeat.org/matconvnet/) in './tracker_exter/matconvnet' (Set 'opts.enableGpu = true' in 'matconvnet/matlab/vl_compilenn.m')

Installation: Run install.m file to compile the libraries and download networks.

Demo: Run demo.m

Raw Results: OTB2015(OTB2013) TrackingNet Test

About

Matlab implementation of ICCV2019 paper "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking"

License:GNU General Public License v3.0


Languages

Language:MATLAB 58.3%Language:C++ 19.3%Language:HTML 12.4%Language:C 10.0%Language:CSS 0.0%