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dc.contributor.author
Voser, Michael
dc.date.accessioned
2017-06-13T15:42:21Z
dc.date.available
2017-06-13T15:42:21Z
dc.date.issued
2011
dc.identifier.uri
http://hdl.handle.net/20.500.11850/153145
dc.identifier.doi
10.3929/ethz-a-006900738
dc.format
application/pdf
dc.language.iso
en
dc.publisher
Swiss Federal Institute of Technolog Zurich, Department of Mechanical Engineering
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
COMPUTERSYSTEME
dc.subject
ROBOTERSEHEN
dc.subject
MUSTERERKENNUNG + BILDERKENNUNG (MATHEMATISCHE BILDVERARBEITUNG)
dc.subject
ECHTZEITSYSTEME + EINGEBETTETE SYSTEME (BETRIEBSSYSTEME)
dc.subject
COMPUTER SYSTEMS
dc.subject
ROBOT VISION
dc.subject
PATTERN RECOGNITION + IMAGE RECOGNITION (MATHEMATICAL IMAGE PROCESSING)
dc.subject
REAL-TIME SYSTEMS + EMBEDDED SYSTEMS (OPERATING SYSTEMS)
dc.title
Real-Time Visual Object Discovery for Tracking Using Motion and Depth Data
dc.type
Student Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2012
ethz.size
Online-Datei
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::621.3 - Electric engineering
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
ethz.notes
Semester Thesis ETH Zurich, August 2011.
ethz.identifier.nebis
006900738
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.
ethz.date.deposited
2017-06-13T15:45:26Z
ethz.source
ECOL
ethz.identifier.importid
imp59366b1c1f7bc52923
ethz.ecolpid
eth:5132
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-15T15:18:23Z
ethz.rosetta.lastUpdated
2020-02-15T04:09:47Z
ethz.rosetta.versionExported
true
ethz.COinS
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