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dc.contributor.authorBoyd, Jeffrey E.eng
dc.date.accessioned2008-02-26T20:25:55Z
dc.date.available2008-02-26T20:25:55Z
dc.date.issued2003-02-13eng
dc.identifier.urihttp://hdl.handle.net/1880/45418
dc.description.abstractThere are two fundamentally different approaches to machine analysis of human motion: model-based, that use a high-level kinematic model, and model-free, that use low-level representations of the motion. Although each approach has its advantages, there is currently a perceptual gap between the two. This paper describes a new type of kinematic model that enables us to bridge the perceptual gap. The model is the perceptual equivalent of passive mechanical models that walk without any control mechanism. Thus the model not only describes the linkages in a kinematic chain, it also has an innate resonance that is a gait. If we introduce control to force the model to synchronize with low-level oscillations perceived in a video sequence, the result is a gait model that resonates with an observed gait. We describe a system that demonstrates this new model and the connection between the model-free and model-based representations.eng
dc.language.isoEngeng
dc.subjectComputer Scienceeng
dc.titleOSCILLATING MODELS FOR PERCEPTION OF HUMAN MOTIONeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department2003-718-21eng
dc.date.computerscience2003-02-13eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30401
thesis.degree.disciplineComputer Scienceeng


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