This is the code of our IEEE CSVT paper: "Adaptive Region Proposal with Channel Regularization for Robust Object Tracking". We expliot region proposal from object detection to address object re-detection and scale estimation issue in object tracking.
1.Setup matconvet (recompile it if it is not comptiable with your machine) http://www.vlfeat.org/matconvnet/
2.Download the VGG-19 model "imagenet-vgg-verydeep-19.mat" http://www.vlfeat.org/matconvnet/pretrained/ Create a new folder called model, put the VGG-19 model into the folder.
3.Download Egdebox toolkit:https://github.com/pdollar/toolbox rename it as edgebox
4.Run "run_tracker1.m"
The tracking results on OTB-2015 dataset can be downloaded from googledrive
If you find the code and dataset useful in your research, please consider citing:
@article{lu2019adaptive,
title={Adaptive Region Proposal with Channel Regularization for Robust Object Tracking},
author={Lu, Xiankai and Ma, Chao and Ni, Bingbing and Yang, Xiaokang},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
year={2019},
publisher={IEEE}
}