Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46860
Full metadata record
DC FieldValueLanguage
dc.contributor.authorArun Rajen_US
dc.date.accessioned2011-12-23T10:01:51Z
dc.date.available2011-12-23T10:01:51Z
dc.date.copyright2009en_US
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/10356/46860
dc.description78 p.en_US
dc.description.abstractthe intention of my effort was to develop a system which is able to estimate the optical flow between the images frames, which is mainly used in vision based navigation. The image frames are grabbed in real time using a camera and fed into the DSP system. The tracking of features is done through the iterative Lucas and Kanade algorithm, which is more stable than other lgorithms.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processingen_US
dc.titleEstimation of optical flow using DSPen_US
dc.typeThesisen_US
dc.contributor.supervisorWang Jianliangen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
EEE_THESES_20.pdf
  Restricted Access
7.41 MBAdobe PDFView/Open

Page view(s)

227
Updated on Nov 28, 2020

Download(s) 5

12
Updated on Nov 28, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.