An Adaptive System of Velocity Estimation for Digital Images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The estimation of velocity has been proposed as a preprocessing step for many high-level vision algorithms for digital images. A new Galerkin inverse finite element approach is described for estimating velocity efficiently which uses an adaptive triangular mesh in which the resolution only increases where motion is found to occur. The mesh facilitates a reduction in computational effort by enabling processing to focus on particular objects of interest in a scene, specifically those areas where motion is detected without expending effort on computing flow for regions in which there is no motion. A confidence is calculated for the detected motion and this motion is used for the adaptive mesh refinement process if its confidence passes a threshold. The method is applied to real images where a significant part of the image is static with results showing that the adaptive framework estimates motion efficiently without loss of accuracy.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages2
Volume3.8
Publication statusPublished - 1 Oct 2002
Event10th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop (DSP/SPE 2002) - Georgia
Duration: 1 Oct 2002 → …

Conference

Conference10th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop (DSP/SPE 2002)
Period1/10/02 → …

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Adaptive systems
Processing

Cite this

@inproceedings{469953690c65497b8007befabbee444b,
title = "An Adaptive System of Velocity Estimation for Digital Images",
abstract = "The estimation of velocity has been proposed as a preprocessing step for many high-level vision algorithms for digital images. A new Galerkin inverse finite element approach is described for estimating velocity efficiently which uses an adaptive triangular mesh in which the resolution only increases where motion is found to occur. The mesh facilitates a reduction in computational effort by enabling processing to focus on particular objects of interest in a scene, specifically those areas where motion is detected without expending effort on computing flow for regions in which there is no motion. A confidence is calculated for the detected motion and this motion is used for the adaptive mesh refinement process if its confidence passes a threshold. The method is applied to real images where a significant part of the image is static with results showing that the adaptive framework estimates motion efficiently without loss of accuracy.",
author = "Joan Condell and Bryan Scotney and PJ Morrow",
year = "2002",
month = "10",
day = "1",
language = "English",
volume = "3.8",
booktitle = "Unknown Host Publication",

}

Condell, J, Scotney, B & Morrow, PJ 2002, An Adaptive System of Velocity Estimation for Digital Images. in Unknown Host Publication. vol. 3.8, 10th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop (DSP/SPE 2002), 1/10/02.

An Adaptive System of Velocity Estimation for Digital Images. / Condell, Joan; Scotney, Bryan; Morrow, PJ.

Unknown Host Publication. Vol. 3.8 2002.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - An Adaptive System of Velocity Estimation for Digital Images

AU - Condell, Joan

AU - Scotney, Bryan

AU - Morrow, PJ

PY - 2002/10/1

Y1 - 2002/10/1

N2 - The estimation of velocity has been proposed as a preprocessing step for many high-level vision algorithms for digital images. A new Galerkin inverse finite element approach is described for estimating velocity efficiently which uses an adaptive triangular mesh in which the resolution only increases where motion is found to occur. The mesh facilitates a reduction in computational effort by enabling processing to focus on particular objects of interest in a scene, specifically those areas where motion is detected without expending effort on computing flow for regions in which there is no motion. A confidence is calculated for the detected motion and this motion is used for the adaptive mesh refinement process if its confidence passes a threshold. The method is applied to real images where a significant part of the image is static with results showing that the adaptive framework estimates motion efficiently without loss of accuracy.

AB - The estimation of velocity has been proposed as a preprocessing step for many high-level vision algorithms for digital images. A new Galerkin inverse finite element approach is described for estimating velocity efficiently which uses an adaptive triangular mesh in which the resolution only increases where motion is found to occur. The mesh facilitates a reduction in computational effort by enabling processing to focus on particular objects of interest in a scene, specifically those areas where motion is detected without expending effort on computing flow for regions in which there is no motion. A confidence is calculated for the detected motion and this motion is used for the adaptive mesh refinement process if its confidence passes a threshold. The method is applied to real images where a significant part of the image is static with results showing that the adaptive framework estimates motion efficiently without loss of accuracy.

M3 - Conference contribution

VL - 3.8

BT - Unknown Host Publication

ER -