A study on smoothing for particle-filtered 3D human body tracking
Stochastic models have become the dominant means of approaching the problem of articulated 3D human body tracking, where approximate inference is employed to tractably estimate the high-dimensional (~30D) posture space. Of these approximate inference techniques, particle filtering is the most common...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer Netherlands
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/48073 |