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Title: Estimating pixel variances in the scenes of staring sensors

Abstract

A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.

Inventors:
 [1];  [2]
  1. Cedar Crest, NM
  2. Albuquerque, NM
Issue Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1034623
Patent Number(s):
8103116
Application Number:
12/396,109
Assignee:
Sandia Corporation (Albuquerque, NM)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04N - PICTORIAL COMMUNICATION, e.g. TELEVISION
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Simonson, Katherine M, and Ma, Tian J. Estimating pixel variances in the scenes of staring sensors. United States: N. p., 2012. Web.
Simonson, Katherine M, & Ma, Tian J. Estimating pixel variances in the scenes of staring sensors. United States.
Simonson, Katherine M, and Ma, Tian J. Tue . "Estimating pixel variances in the scenes of staring sensors". United States. https://www.osti.gov/servlets/purl/1034623.
@article{osti_1034623,
title = {Estimating pixel variances in the scenes of staring sensors},
author = {Simonson, Katherine M and Ma, Tian J},
abstractNote = {A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {1}
}

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Works referenced in this record:

Motion detection with an unstable camera
conference, October 2008


Principal component background suppression
conference, January 1996


Analysis of advantages and disadvantages of scene registration as part of space-time processing
conference, May 1996


Statistical background subtraction using spatial cues
journal, December 2007


Image change detection algorithms: a systematic survey
journal, March 2005