Multimodal sensor experiment for evaluating motion imagery in activity-based intelligence

Christian M. Lewis; David Messinger; Briana Neuberger

doi:10.1117/12.2050539

19 June 2014 Multimodal sensor experiment for evaluating motion imagery in activity-based intelligence

Christian M. Lewis, David Messinger, Briana Neuberger

Proceedings Volume 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II; 90890P (2014) https://doi.org/10.1117/12.2050539
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

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Christian M. Lewis, David Messinger, and Briana Neuberger "Multimodal sensor experiment for evaluating motion imagery in activity-based intelligence", Proc. SPIE 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II, 90890P (19 June 2014); https://doi.org/10.1117/12.2050539

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KEYWORDS

Sensors

Polarimetry

Detection and tracking algorithms

Video

Light emitting diodes

Diodes

RGB color model

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