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Title: Using deep machine learning to conduct object-based identification and motion detection on safeguards video surveillance

Authors:
Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22)
OSTI Identifier:
1477477
Report Number(s):
BNL-209172-2018-COPR
DOE Contract Number:  
SC0012704
Resource Type:
Conference
Resource Relation:
Conference: Symposium on International Safeguards: Building Future Safeguards Capabilities, Vienna, Austria, 11/5/2018 - 11/8/2018
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; deep; machine; video; surveillance

Citation Formats

Cui, Yonggang. Using deep machine learning to conduct object-based identification and motion detection on safeguards video surveillance. United States: N. p., 2018. Web.
Cui, Yonggang. Using deep machine learning to conduct object-based identification and motion detection on safeguards video surveillance. United States.
Cui, Yonggang. Mon . "Using deep machine learning to conduct object-based identification and motion detection on safeguards video surveillance". United States. https://www.osti.gov/servlets/purl/1477477.
@article{osti_1477477,
title = {Using deep machine learning to conduct object-based identification and motion detection on safeguards video surveillance},
author = {Cui, Yonggang},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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