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Proceedings Paper

Multimodal sensor experiment for evaluating motion imagery in activity-based intelligence
Author(s): Christian M. Lewis; David Messinger; Briana Neuberger
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Paper Abstract

Activity Based Intelligence (ABI) is the derivation of information from the composite of a series of individual actions being recorded over a period of time. Due to its temporal nature, ABI is usually developed from Motion Imagery (MI) or Full Motion Video (FMV) taken from a given scene. One common misconception, is that ABI boils down to a simple resolution problem; more pixels at a higher frame rate is better. As part of this research an experiment was designed and performed to address this assumption; by analyzing varying temporal resolutions in conjunction with several modalities, a trade space for characterizing activities can be developed. Thermal Infrared (IR), multispectral, and polarimetric data were used to augment RGB MI. As these data are still being analyzed, this paper gives an update to the experiment and analysis process.

Paper Details

Date Published: 19 June 2014
PDF: 12 pages
Proc. SPIE 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II, 90890P (19 June 2014); doi: 10.1117/12.2050539
Show Author Affiliations
Christian M. Lewis, Rochester Institute of Technology (United States)
Air Force Institute of Technology (United States)
David Messinger, Rochester Institute of Technology (United States)
Briana Neuberger, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9089:
Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II
Donnie Self; Matthew F. Pellechia; Kannappan Palaniappan; Shiloh L. Dockstader; Paul B. Deignan; Peter J. Doucette, Editor(s)

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