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

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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Publication Details

Published
2025-05-26
DOI
https://doi.org/10.1109/fg61629.2025.11099141
Citations
1
Primary Topic
Infrared Thermography in Medicine
Type
article
Field-Weighted Citation Impact
1.36
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article

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

Gavin Jager, Brandon Stockwell, Andrew Duncan, Nell Barber et al.
1 citations
Infrared Thermography in Medicine
1.36
article

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

Gavin Jager, Brandon Stockwell, Andrew Duncan, Nell Barber, Bart Murphy, Gregory M. Glenn, Deniz Aykac, Joel Brogan, Nick Burchfield, Austin Garrett, Carl Dukes, Christi Johnson, Laura Davies, Scott Dolvin, David Cornett, Regina Ferrell, Bob Zhang, Ryan Shivers, Jairus Hines, Leanne Thompson, Jim Goddard, David Bolme, Sean Pharris, Matthew Yohe
article en
1 citations

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.

Oak Ridge National Laboratory (US)
Openalex Percentile: Top 17%
Infrared Thermography in Medicine
1.36
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Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4) — Gavin Jager, Brandon Stockwell, et al. · (2025) | TGRS Research Map | TGRS