Skip to content

Event-based Framework for Dynamic Object Tracking

Notifications You must be signed in to change notification settings

nusneuromorphic/eTLD

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

52 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

e-TLD

Event-based Framework for Dynamic Object Tracking

eTLD Video Demo

The final paper is available here. The arXiv preprint is available here.

Dependencies

  • OpenCV >= 3.0
  • VLFeat 0.9.21

How to run the example?

  • Edit CMakeLists.txt to set the correct path to VLFeat root.
  • Build.
  $ cd eTLD
  $ mkdir build && cd build
  $ cmake ..
  $ make
  • Run.
  $ ./ETLDDesc

How to use?

  • Include source and include files into your project.
  • Create an ETLDDesc object.
ETLDDesc eTLDdesc(sensor_dims, vocab_size);
  • Train from event data and ROI.
eTLDdesc.train(initial_TD, ROItopLeftX, ROItopLeftY, ROIboxSizeX, ROIboxSizeY, false);
  • Track and visualize.
eTLDdesc.track(test_TD, false, true);

Citation

Bharath Ramesh, Shihao Zhang, Hong Yang, Andres Ussa, Matthew Ong, Garrick Orchard and Cheng Xiang "e-TLD: Event-based Framework for Dynamic Object Tracking," in IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2020.3044287.

@ARTICLE{9292994,
  author={B. {Ramesh} and S. {Zhang} and H. {Yang} and A. {Ussa} and M. {Ong} and G. {Orchard} and C. {Xiang}},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={e-TLD: Event-based Framework for Dynamic Object Tracking}, 
  year={2020},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TCSVT.2020.3044287}}
}

About

Event-based Framework for Dynamic Object Tracking

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published