Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4)

Gavin Jager, David Cornett, Gavin Glenn, Deniz Aykac, Christi Johnson +19 more
1/23/2025
cs.CVcs.AIcs.LG

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Abstract

The state-of-the-art in biometric recognition algorithms and operational systems has advanced quickly in recent years providing high accuracy and robustness in more challenging collection environments and consumer applications. However, the technology still suffers greatly when applied to non-conventional settings such as those seen when performing identification at extreme distances or from elevated cameras on buildings or mounted to UAVs. This paper summarizes an extension to the largest dataset currently focused on addressing these operational challenges, and describes its composition as well as methodologies of collection, curation, and annotation.

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Cite this paper

@article{jager2025expanding,
  title  = {Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4)},
  author = {Gavin Jager and David Cornett and Gavin Glenn and Deniz Aykac and Christi Johnson and Robert Zhang and Ryan Shivers and David Bolme and Laura Davies and Scott Dolvin and Nell Barber and Joel Brogan and Nick Burchfield and Carl Dukes and Andrew Duncan and Regina Ferrell and Austin Garrett and Jim Goddard and Jairus Hines and Bart Murphy and Sean Pharris and Brandon Stockwell and Leanne Thompson and Matthew Yohe},
  year   = {2025},
  eprint = {2501.14070},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.14070v2}
}

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