Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4)
This provides a resource for researchers working on biometric recognition in real-world, challenging scenarios, but it is incremental as it builds on an existing dataset.
The paper addresses the challenge of biometric recognition in non-conventional settings like extreme distances and elevated cameras by extending the largest dataset focused on these operational issues, detailing its composition and collection methodologies.
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.