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Title: Robust real-time change detection in high jitter.

Abstract

A new method is introduced for real-time detection of transient change in scenes observed by staring sensors that are subject to platform jitter, pixel defects, variable focus, and other real-world challenges. The approach uses flexible statistical models for the scene background and its variability, which are continually updated to track gradual drift in the sensor's performance and the scene under observation. Two separate models represent temporal and spatial variations in pixel intensity. For the temporal model, each new frame is projected into a low-dimensional subspace designed to capture the behavior of the frame data over a recent observation window. Per-pixel temporal standard deviation estimates are based on projection residuals. The second approach employs a simple representation of jitter to generate pixelwise moment estimates from a single frame. These estimates rely on spatial characteristics of the scene, and are used gauge each pixel's susceptibility to jitter. The temporal model handles pixels that are naturally variable due to sensor noise or moving scene elements, along with jitter displacements comparable to those observed in the recent past. The spatial model captures jitter-induced changes that may not have been seen previously. Change is declared in pixels whose current values are inconsistent with both models.

Authors:
;
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
993911
Report Number(s):
SAND2009-5546
TRN: US201101%%122
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; SENSORS; REAL TIME SYSTEMS; DETECTION; PERFORMANCE; STATISTICAL MODELS; TRANSIENTS; MODIFICATIONS

Citation Formats

Simonson, Katherine Mary, and Ma, Tian J. Robust real-time change detection in high jitter.. United States: N. p., 2009. Web. doi:10.2172/993911.
Simonson, Katherine Mary, & Ma, Tian J. Robust real-time change detection in high jitter.. United States. doi:10.2172/993911.
Simonson, Katherine Mary, and Ma, Tian J. Sat . "Robust real-time change detection in high jitter.". United States. doi:10.2172/993911. https://www.osti.gov/servlets/purl/993911.
@article{osti_993911,
title = {Robust real-time change detection in high jitter.},
author = {Simonson, Katherine Mary and Ma, Tian J.},
abstractNote = {A new method is introduced for real-time detection of transient change in scenes observed by staring sensors that are subject to platform jitter, pixel defects, variable focus, and other real-world challenges. The approach uses flexible statistical models for the scene background and its variability, which are continually updated to track gradual drift in the sensor's performance and the scene under observation. Two separate models represent temporal and spatial variations in pixel intensity. For the temporal model, each new frame is projected into a low-dimensional subspace designed to capture the behavior of the frame data over a recent observation window. Per-pixel temporal standard deviation estimates are based on projection residuals. The second approach employs a simple representation of jitter to generate pixelwise moment estimates from a single frame. These estimates rely on spatial characteristics of the scene, and are used gauge each pixel's susceptibility to jitter. The temporal model handles pixels that are naturally variable due to sensor noise or moving scene elements, along with jitter displacements comparable to those observed in the recent past. The spatial model captures jitter-induced changes that may not have been seen previously. Change is declared in pixels whose current values are inconsistent with both models.},
doi = {10.2172/993911},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Aug 01 00:00:00 EDT 2009},
month = {Sat Aug 01 00:00:00 EDT 2009}
}

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