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Title: Data-driven delta-generalized labeled multi-bernoulli tracker

Abstract

A system and method for tracking a plurality of objects. Unlabeled measurement data identifying a plurality of targets corresponding to the plurality of objects is received. A multi-target likelihood function is generated using a persistent target density, a birth target density, and a clutter density. The multi-target likelihood function is used to associate persistent targets with the unlabeled measurement data to update persistent tracks and to initiate a new track for each target in the plurality of targets in the measurement data that is not associated with a persistent target.

Inventors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1805516
Patent Number(s):
10,922,820
Application Number:
16/050,992
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
DOE Contract Number:  
NA0003525
Resource Type:
Patent
Resource Relation:
Patent File Date: 07/31/2018
Country of Publication:
United States
Language:
English

Citation Formats

LeGrand, Keith Allen. Data-driven delta-generalized labeled multi-bernoulli tracker. United States: N. p., 2021. Web.
LeGrand, Keith Allen. Data-driven delta-generalized labeled multi-bernoulli tracker. United States.
LeGrand, Keith Allen. 2021. "Data-driven delta-generalized labeled multi-bernoulli tracker". United States. https://www.osti.gov/servlets/purl/1805516.
@article{osti_1805516,
title = {Data-driven delta-generalized labeled multi-bernoulli tracker},
author = {LeGrand, Keith Allen},
abstractNote = {A system and method for tracking a plurality of objects. Unlabeled measurement data identifying a plurality of targets corresponding to the plurality of objects is received. A multi-target likelihood function is generated using a persistent target density, a birth target density, and a clutter density. The multi-target likelihood function is used to associate persistent targets with the unlabeled measurement data to update persistent tracks and to initiate a new track for each target in the plurality of targets in the measurement data that is not associated with a persistent target.},
doi = {},
url = {https://www.osti.gov/biblio/1805516}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {2}
}

Works referenced in this record: