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Title: Video Analysis in Multi-Intelligence

Abstract

This is a project which was performed by a graduated high school student at Los Alamos National Laboratory (LANL). The goal of the Multi-intelligence (MINT) project is to determine the state of a facility from multiple data streams. The data streams are indirect observations. The researcher is using DARHT (Dual-Axis Radiographic Hydrodynamic Test Facility) as a proof of concept. In summary, videos from the DARHT facility contain a rich amount of information. Distribution of car activity can inform us about the state of the facility. Counting large vehicles shows promise as another feature for identifying the state of operations. Signal processing techniques are limited by the low resolution and compression of the videos. We are working on integrating these features with features obtained from other data streams to contribute to the MINT project. Future work can pursue other observations, such as when the gate is functioning or non-functioning.

Authors:
 [1];  [2];  [2];  [2]
  1. Univ. of Washington, Seattle, WA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1291267
Report Number(s):
LA-UR-16-25615
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Key, Everett Kiusan, Van Buren, Kendra Lu, Warren, Will, and Hemez, Francois M. Video Analysis in Multi-Intelligence. United States: N. p., 2016. Web. doi:10.2172/1291267.
Key, Everett Kiusan, Van Buren, Kendra Lu, Warren, Will, & Hemez, Francois M. Video Analysis in Multi-Intelligence. United States. doi:10.2172/1291267.
Key, Everett Kiusan, Van Buren, Kendra Lu, Warren, Will, and Hemez, Francois M. Wed . "Video Analysis in Multi-Intelligence". United States. doi:10.2172/1291267. https://www.osti.gov/servlets/purl/1291267.
@article{osti_1291267,
title = {Video Analysis in Multi-Intelligence},
author = {Key, Everett Kiusan and Van Buren, Kendra Lu and Warren, Will and Hemez, Francois M.},
abstractNote = {This is a project which was performed by a graduated high school student at Los Alamos National Laboratory (LANL). The goal of the Multi-intelligence (MINT) project is to determine the state of a facility from multiple data streams. The data streams are indirect observations. The researcher is using DARHT (Dual-Axis Radiographic Hydrodynamic Test Facility) as a proof of concept. In summary, videos from the DARHT facility contain a rich amount of information. Distribution of car activity can inform us about the state of the facility. Counting large vehicles shows promise as another feature for identifying the state of operations. Signal processing techniques are limited by the low resolution and compression of the videos. We are working on integrating these features with features obtained from other data streams to contribute to the MINT project. Future work can pursue other observations, such as when the gate is functioning or non-functioning.},
doi = {10.2172/1291267},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 27 00:00:00 EDT 2016},
month = {Wed Jul 27 00:00:00 EDT 2016}
}

Technical Report:

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