An efficient stochastic framework for 3D human motion tracking
10.1117/12.765767
Saved in:
Main Authors: | Ni, B., Winkler, S., Kassim, A.A. |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Conference or Workshop Item |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/69306 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
A hybrid framework for 3-D human motion tracking
by: Ni, B., et al.
Published: (2014) -
Articulated object registration using simulated physical force/moment for 3D human motion tracking
by: Ni, B., et al.
Published: (2014) -
Information-driven sensor selection for energy-efficient human motion tracking
by: Tham, C.-K., et al.
Published: (2014) -
Vision based target tracking/ following and estimation of target motion
by: Peng, K., et al.
Published: (2014) -
Stochastic tracking of migrating live cells interacting with 3D gel environment using augmented-space particle filters
by: Ong, L.-L.S., et al.
Published: (2014)