File(s) under permanent embargo
Object focused simultaneous estimation of optical flow and state dynamics
conference contribution
posted on 2008-01-01, 00:00 authored by Nicholas Joel Bauer, Pubudu PathiranaPubudu PathiranaThe framework of differential optical flow has been built upon to enhance the performance of motion estimation from optical flow. By coupling optical flow and object state parameters, an effective procedure for object tracking is implemented with the dasiaSimultaneous Estimation of Optical Flow and Object Statepsila (SEOS) technique. The SEOS method utilizes dynamic object parameter information when calculating optical flow for tracking a moving object within a video stream. Optical flow estimation for the SEOS method requires minimization of an error functional containing object physical parameter data. The convergence of an energy functional to a feasible or optimal solution set is not guaranteed. Convergence criteria is often assumed and not shown explicitly. Convergence of the SEOS method for both the Jacobi and Gauss-Seidel numerical resolution methods is evaluated.
History
Event
IEEE Conference on Intelligent Sensors, Sensor Networks and Information Processing (2008 : Sydney, N.S.W.)Pagination
61 - 66Publisher
IEEELocation
Sydney, N.S.W.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2008-12-15End date
2008-12-18ISBN-13
9781424429578Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
A Bouzerdoum, M Palaniswami, G Dissanayake, A SowmyaTitle of proceedings
ISSNIP 2008 : IEEE International Conference on Intelligent Sensors, Sensor Networks and Information ProcessingUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC