5 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…
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…
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…
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…