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ICCV
2009
IEEE

Stabilizing Motion Tracking Using Retrieved Motion Priors

9 years 8 months ago
Stabilizing Motion Tracking Using Retrieved Motion Priors
In this paper, we introduce a novel iterative motion tracking framework that combines 3D tracking techniques with motion retrieval for stabilizing markerless human motion capturing. The basic idea is to start human tracking without prior knowledge about the performed actions. The resulting 3D motion sequences, which may be corrupted due to tracking errors, are locally classified according to available motion categories. Depending on the classification result, a retrieval system supplies suitable motion priors, which are then used to regularize and stabilize the tracking in the next iteration step. Experiments with the HumanEVA-II benchmark show that tracking and classification are remarkably improved after few iterations.
Andreas Baak, Bodo Rosenhahn, Meinard Muller, Hans
Added 13 Jul 2009
Updated 10 Jan 2010
Type Conference
Year 2009
Where ICCV
Authors Andreas Baak, Bodo Rosenhahn, Meinard Muller, Hans-Peter Seidel
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