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- W2023743836 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." @default.
- W2023743836 created "2016-06-24" @default.
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- W2023743836 date "2014-05-21" @default.
- W2023743836 modified "2023-09-23" @default.
- W2023743836 title "Activity-based intelligence tipping and cueing using polarimetric sensors" @default.
- W2023743836 doi "https://doi.org/10.1117/12.2050743" @default.
- W2023743836 hasPublicationYear "2014" @default.
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