Factored particle filtering with dependent and constrained partition dynamics for tracking deformable objects
In particle filtering, dimensionality of the state space can be reduced by tracking control (or feature) points as independent objects, which are traditionally named as partitions. Two critical decisions have to be made in implementation of reduced state-space dimensionality. First is how to constru...
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Veröffentlicht in: | Machine vision and applications 2014-10, Vol.25 (7), p.1825-1840 |
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Sprache: | eng |
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