This demo is only used for test our algorithm for adapting deep visible trackers to thermal infrared domain. Here we adopt HCF as the base tracker.
1.Clone the repository
$ git clone https://github.com/xfmao/Adapted_TIRtracking.git
2.Download MatConvNet and extract it under the directory .\external\matconvnet
.
Then precompile it by
> cd <MatConvNet>
> addpath matlab
> vl_compilenn
If you want to run the code with GPU, make sure that you have installed CUDA and cuDNN. And compile MatConvNet with cuDNN support.(refer to http://www.vlfeat.org/matconvnet/install/)
3.Download the VGG-Net-19 model and put it in .\model\
.
4.Run demo.m
.
HCF without finetuning:
HCF after finetuning:
@inproceedings{Ma-ICCV-2015,
title={Hierarchical Convolutional Features for Visual Tracking},
Author = {Ma, Chao and Huang, Jia-Bin and Yang, Xiaokang and Yang, Ming-Hsuan},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
pages={},
Year = {2015}
}