Detection and Estimation of Motion Using Adaptive Grids.

Joan Condell; Bryan Scotney; PJ Morrow

Detection and Estimation of Motion Using Adaptive Grids.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A Galerkin finite element approach is described for computing optical flow which uses an adaptive triangular mesh in which the resolution 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. The method is applied to real image sequences where a significant part of the image is static.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE Signal Processing Society
Number of pages	4
ISBN (Print)	0-7803-7504-1
Publication status	Published (in print/issue) - 1 Jul 2002
Event	14th International Conference on Digital Signal Processing (DSP 2002) - Santorini-Hellas, Greece Duration: 1 Jul 2002 → …

Conference

Conference	14th International Conference on Digital Signal Processing (DSP 2002)
Period	1/07/02 → …

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title = "Detection and Estimation of Motion Using Adaptive Grids.",

abstract = "A Galerkin finite element approach is described for computing optical flow which uses an adaptive triangular mesh in which the resolution 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. The method is applied to real image sequences where a significant part of the image is static.",

author = "Joan Condell and Bryan Scotney and PJ Morrow",

year = "2002",

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language = "English",

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T1 - Detection and Estimation of Motion Using Adaptive Grids.

AU - Condell, Joan

AU - Scotney, Bryan

AU - Morrow, PJ

PY - 2002/7/1

Y1 - 2002/7/1

N2 - A Galerkin finite element approach is described for computing optical flow which uses an adaptive triangular mesh in which the resolution 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. The method is applied to real image sequences where a significant part of the image is static.

AB - A Galerkin finite element approach is described for computing optical flow which uses an adaptive triangular mesh in which the resolution 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. The method is applied to real image sequences where a significant part of the image is static.

M3 - Conference contribution

SN - 0-7803-7504-1

BT - Unknown Host Publication

PB - IEEE Signal Processing Society

T2 - 14th International Conference on Digital Signal Processing (DSP 2002)

Y2 - 1 July 2002

ER -

Detection and Estimation of Motion Using Adaptive Grids.

Abstract

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