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 = {Tue Jul 24 00:00:00 EDT 2018},
month = {Tue Jul 24 00:00:00 EDT 2018}
}
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