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An Adaptive System of Velocity Estimation for Digital Images

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Condell, Joan, Scotney, Bryan and Morrow, PJ (2002) An Adaptive System of Velocity Estimation for Digital Images. In: 10th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop (DSP/SPE 2002), Georgia. IEEE Signal Processing Society Press. Vol 3.8 2 pp. [Conference contribution]

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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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:13100
Deposited By:Dr Joan Condell
Deposited On:20 Apr 2010 11:08
Last Modified:15 Jun 2011 11:08

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