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Code of PBBAT-Tracker v1.0 (Matlab Version for Discussion)
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UAV123_10fps
evaluation
external
implementation
model
results
utils
.DS_Store
.gitattributes
.gitignore
PBBAT_Demo.m
PBBAT_optimized.m
README.md
configSeqs.m
opencv_core242.dll
opencv_imgproc242.dll
run_PBBAT.m

README.md

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).

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

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