U.S. Army Research Laboratory (ARL) multimodal signatures database

Kelly Bennett

doi:10.1117/12.784185

16 April 2008 U.S. Army Research Laboratory (ARL) multimodal signatures database

Kelly Bennett

Proceedings Volume 6963, Unattended Ground, Sea, and Air Sensor Technologies and Applications X; 69631A (2008) https://doi.org/10.1117/12.784185
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The U.S. Army Research Laboratory (ARL) Multimodal Signatures Database (MMSDB) is a centralized collection of sensor data of various modalities that are co-located and co-registered. The signatures include ground and air vehicles, personnel, mortar, artillery, small arms gunfire from potential sniper weapons, explosives, and many other high value targets. This data is made available to Department of Defense (DoD) and DoD contractors, Intel agencies, other government agencies (OGA), and academia for use in developing target detection, tracking, and classification algorithms and systems to protect our Soldiers. A platform independent Web interface disseminates the signatures to researchers and engineers within the scientific community. Hierarchical Data Format 5 (HDF5) signature models provide an excellent solution for the sharing of complex multimodal signature data for algorithmic development and database requirements. Many open source tools for viewing and plotting HDF5 signatures are available over the Web. Seamless integration of HDF5 signatures is possible in both proprietary computational environments, such as MATLAB, and Free and Open Source Software (FOSS) computational environments, such as Octave and Python, for performing signal processing, analysis, and algorithm development. Future developments include extending the Web interface into a portal system for accessing ARL algorithms and signatures, High Performance Computing (HPC) resources, and integrating existing database and signature architectures into sensor networking environments.

Citation Download Citation

Kelly Bennett "U.S. Army Research Laboratory (ARL) multimodal signatures database", Proc. SPIE 6963, Unattended Ground, Sea, and Air Sensor Technologies and Applications X, 69631A (16 April 2008); https://doi.org/10.1117/12.784185

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KEYWORDS

Databases

Algorithm development

MATLAB

Java

Human-machine interfaces

Sensors

Data modeling

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