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dc.contributor.authorStreeter, Lee V.en_NZ
dc.contributor.authorCree, Michael J.en_NZ
dc.coverage.spatialOrlando, Florida, United Statesen_NZ
dc.date.accessioned2018-07-25T02:34:27Z
dc.date.available2018en_NZ
dc.date.available2018-07-25T02:34:27Z
dc.date.issued2018en_NZ
dc.identifier.citationStreeter, L. V., & Cree, M. J. (2018). Classifying Transverse Motion in Time-of-Flight Range Imaging. Presented at the 3D Image Acquisition and Display: Technology, Perception and Applications 2018, Orlando, Florida, United States: OSA Publishing. https://doi.org/10.1364/3D.2018.3W2G.4en
dc.identifier.urihttps://hdl.handle.net/10289/11982
dc.description.abstractClassification of step motion in time-of-flight imaging using the stochastic oscillator and autocorrelation is proposed. Machine learning algorithms correctly identify the step location in 65–75% of trials, with apparent good noise robustness.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherOSA Publishingen_NZ
dc.rights© 2018 The Authors.
dc.source3D Image Acquisition and Display: Technology, Perception and Applications 2018en_NZ
dc.titleClassifying Transverse Motion in Time-of-Flight Range Imagingen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1364/3D.2018.3W2G.4en_NZ
pubs.elements-id225619
pubs.finish-date2018-06-28en_NZ
pubs.publisher-urlhttps://www.osapublishing.org/abstract.cfm?uri=3d-2018-3W2G.4&origin=searchen_NZ
pubs.start-date2018-06-25en_NZ


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