Activity-based intelligence tipping and cueing using polarimetric sensors

Christian M. Lewis; David Messinger; Michael G. Gartley

doi:10.1117/12.2050743

21 May 2014 Activity-based intelligence tipping and cueing using polarimetric sensors

Christian M. Lewis, David Messinger, Michael G. Gartley

Proceedings Volume 9099, Polarization: Measurement, Analysis, and Remote Sensing XI; 90990C (2014) https://doi.org/10.1117/12.2050743
Event: SPIE Sensing Technology + Applications, 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 of a given scene. One of today's common issues is sifting through such large volumes of temporal data. Here we propose using a technique known as tipping an cueing to alleviate the need to manually sift through said data. Being able to tip the analysts or automated algorithm towards a particular person or object in the data is useful in reducing search time. We propose using a polarimetric sensor to identify objects of interest, in a scene where their signature would be unusual. Once identified, this data will be used to cue a FMV RGB sensor to track the object and determine the activities being executed by the person bringing the object into the scene.

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Christian M. Lewis, David Messinger, and Michael G. Gartley "Activity-based intelligence tipping and cueing using polarimetric sensors", Proc. SPIE 9099, Polarization: Measurement, Analysis, and Remote Sensing XI, 90990C (21 May 2014); https://doi.org/10.1117/12.2050743

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