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Proceedings Paper

Advances in the design, development, and deployment of the U.S. Army Research Laboratory (ARL) multimodal signatures database
Author(s): Kelly Bennett; James Robertson
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Paper Abstract

Recent advances in the design, development, and deployment of U.S. Army Research Laboratory's (ARL) Multimodal Signature Database (MMSDB) create a state-of-the-art database system with Web-based access through a Web interface designed specifically for research and development. Tens of thousands of signatures are currently available for researchers to support their algorithm development and refinement for sensors and other security systems. Each dataset is stored in (Hierarchical Data Format 5 (HDF5) format for easy modeling and storing of signatures and archived sensor data, ground truth, calibration information, algorithms, and other documentation. Archived HDF5 formatted data provides the basis for computational interoperability across a variety of tools including MATLAB, Octave, and Python. The database has a Web-based front-end with public and restricted access interfaces, along with 24/7 availability and support. This paper describes the overall design of the system, and the recent enhancements and future vision, including the ability for researchers to share algorithms, data, and documentation in the cloud, and providing an ability to run algorithms and software for testing and evaluation purposes remotely across multiple domains and computational tools. The paper will also describe in detail the HDF5 format for several multimodal sensor types.

Paper Details

Date Published: 8 June 2011
PDF: 11 pages
Proc. SPIE 8040, Active and Passive Signatures II, 804009 (8 June 2011); doi: 10.1117/12.883411
Show Author Affiliations
Kelly Bennett, U.S. Army Research Lab. (United States)
James Robertson, Clearhaven Technologies LLC (United States)

Published in SPIE Proceedings Vol. 8040:
Active and Passive Signatures II
G. Charmaine Gilbreath; Chadwick Todd Hawley, Editor(s)

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