Reducing Drift in Parametric Motion Tracking

dc.creator	Rahimi, A.
dc.creator	Morency, L.-P.
dc.creator	Darrell, T.
dc.date	2004-10-04T14:37:42Z
dc.date	2004-10-04T14:37:42Z
dc.date	2001-05-07
dc.date.accessioned	2013-10-09T02:42:45Z
dc.date.available	2013-10-09T02:42:45Z
dc.date.issued	2013-10-09
dc.identifier	AIM-2001-008
dc.identifier	http://hdl.handle.net/1721.1/6078
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	We develop a class of differential motion trackers that automatically stabilize when in finite domains. Most differ-ential trackers compute motion only relative to one previous frame, accumulating errors indefinitely. We estimate pose changes between a set of past frames, and develop a probabilistic framework for integrating those estimates. We use an approximation to the posterior distribution of pose changes as an uncertainty model for parametric motion in order to help arbitrate the use of multiple base frames. We demonstrate this framework on a simple 2D translational tracker and a 3D, 6-degree of freedom tracker.
dc.format	8757672 bytes
dc.format	1663085 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-2001-008
dc.title	Reducing Drift in Parametric Motion Tracking

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