/PBBAT-Tracker

Code of PBBAT-Tracker v1.0 (Matlab Version for Discussion)

Primary LanguageMATLAB

PBBAT-tracker

Test passed
matlab-2017b MatConvNet-1.0--beta25 CUDA-8.0

Matlab implementation of Part-Based Background-Aware Tracking for UAV with Convolutional Features (PBBAT-tracker).

Publication and Citation

This paper has been published by IEEE Access.

You can find this paper here: https://ieeexplore.ieee.org/document/8736485.

Please cite this paper as:

@ARTICLE{8736485,

author={C. {Fu} and Y. {Zhang} and Z. {Huang} and R. {Duan} and Z. {Xie}},

journal={IEEE Access},

title={Part-Based Background-Aware Tracking for UAV With Convolutional Features},

year={2019},

volume={7},

number={},

pages={79997-80010},}

Instructions

  1. Download imagenet-vgg-verydeep-19.mat from here and put it in ./model.
  2. Download matconvnet toolbox here and put it in ./external.
  3. Run PBBAT_Demo.m

Note: the original version is using CPU to run the whole program. If GPU version is required, just change false in the following lines in run_PBBAT.m to true:

global enableGPU;
enableGPU = true;

vl_setupnn();
vl_compilenn('enableGpu', true);

Acknowledgements

The parameter settings are partly borrowed from BACF paper and convolutional feature extraction function is borrowed from HCF.

Results