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.

Citation Download Citation

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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