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A Procedure for Automatically Estimating Model Parameters in Optical Motion Capture
Author(s) -
Maurice Ringer,
Joan Lasenby
Publication year - 2002
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.16.73
Subject(s) - skeleton (computer programming) , position (finance) , computer vision , artificial intelligence , computer science , motion capture , motion (physics) , human skeleton , finance , economics , programming language
Model-basedoptical motion capturesystemsrequireknowledgeof the position of the markersrelative to the underlyingskeleton,the lengthsof the skeleton’ s limbs, and which limb eachmarker is attachedto. Thesemodelparametersaretypically assumed andenteredinto thesystemmanually, althoughtechniquesexist for calculatingsomeof them,suchasthepositionof themarkersrelative to theskeleton’ s joints. We presenta fully automaticprocedurefor determiningthesemodelparameters.It tracksthe2Dpositionsof themarkersonthecameras’ imageplanesanddetermineswhich markerslie on eachlimb beforecalculatingthepositionof theunderlyingskeleton.The only assumptionis thattheskeletonconsistsof rigid limbsconnectedwith ball joints. Theproposedsystemis demonstratedonanumberof realdataexamplesandis shown to calculategoodestimatesof themodelparametersin each.

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