1 citations · 1 across the 8 of their papers we have counts for
8 papers
Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals
Jordan Tschida, Matthew Yohe, Edward Kane +10
Time series classification (TSC) of biological signals has progressed from handcrafted, modality-specific approaches to deep architectures capable of representing the diverse wavef…
CHAMP: A Configurable, Hot-Swappable Edge Architecture for Adaptive Biometric Tasks
Joel Brogan, Matthew Yohe, David Cornett
What if you could piece together your own custom biometrics and AI analysis system, a bit like LEGO blocks? We aim to bring that technology to field operators in the field who requ…
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 +21
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 col…
Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions
Deniz Aykac, Joel Brogan, Nell Barber +10
The considerable body of data available for evaluating biometric recognition systems in Research and Development (R\&D) environments has contributed to the increasingly common prob…
From Data to Insights: A Covariate Analysis of the IARPA BRIAR Dataset for Multimodal Biometric Recognition Algorithms at Altitude and Range
David S. Bolme, Deniz Aykac, Ryan Shivers +5
This paper examines covariate effects on fused whole body biometrics performance in the IARPA BRIAR dataset, specifically focusing on UAV platforms, elevated positions, and distanc…
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
David Cornett, Joel Brogan, Nell Barber +20
Face recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning…
FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems
Joel Brogan, Nell Barber, David Cornett +1
Recent global growth in the interest of smart cities has led to trillions of dollars of investment toward research and development. These connected cities have the potential to cre…
The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition
Max Ruby, David S. Bolme, Joel Brogan +7
Face recognition of vehicle occupants through windshields in unconstrained environments poses a number of unique challenges ranging from glare, poor illumination, driver pose and m…