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Title: Multi-hypothesis moving object detection system

Abstract

A method and apparatus for analyzing a sequence of images. Signal-to-noise ratios are identified for potential tracks using a tree having hierarchies of nodes identifying potential positions for an object over a period of time and using the sequence of images. Each hierarchy in the hierarchies of nodes represents a time and the potential positions in the tree form the potential tracks for the object. A potential track is selected from the potential tracks as an established track for the object using the signal-to-noise ratios, and a detection of the object is reported.

Inventors:
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1464127
Patent Number(s):
10032285
Application Number:
15/287,472
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2016 Oct 06
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Ma, Tian J. Multi-hypothesis moving object detection system. United States: N. p., 2018. Web.
Ma, Tian J. Multi-hypothesis moving object detection system. United States.
Ma, Tian J. Tue . "Multi-hypothesis moving object detection system". United States. https://www.osti.gov/servlets/purl/1464127.
@article{osti_1464127,
title = {Multi-hypothesis moving object detection system},
author = {Ma, Tian J.},
abstractNote = {A method and apparatus for analyzing a sequence of images. Signal-to-noise ratios are identified for potential tracks using a tree having hierarchies of nodes identifying potential positions for an object over a period of time and using the sequence of images. Each hierarchy in the hierarchies of nodes represents a time and the potential positions in the tree form the potential tracks for the object. A potential track is selected from the potential tracks as an established track for the object using the signal-to-noise ratios, and a detection of the object is reported.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {7}
}

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Works referenced in this record:

A Heuristic Algorithm for Track-Before-Detect With Thresholded Observations in Radar Systems
journal, August 2013


A Novel Dynamic Programming Algorithm for Track-Before-Detect in Radar Systems
journal, May 2013


A recursive moving-target-indication algorithm for optical image sequences
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  • Reed, I. S.; Gagliardi, R. M.; Stotts, L. B.
  • IEEE Transactions on Aerospace and Electronic Systems, Vol. 26, Issue 3, p. 434-440
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An Efficient Multi-Frame Track-Before-Detect Algorithm for Multi-Target Tracking
journal, June 2013


Multiple hypothesis tracking for multiple target tracking
journal, January 2004