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» Smoothed Motion Complexity
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NIPS
2000
15 years 4 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
ICMCS
2010
IEEE
172views Multimedia» more  ICMCS 2010»
15 years 4 months ago
Pixel-based motion vector concatenation for Reference Picture Selection
Reference Picture Selection (RPS) is a powerful error control technique for video streaming. Previously, two fast block-based motion vector concatenation (MVC) algorithms were pro...
Hadi Hadizadeh, Ivan V. Bajic
CVPR
2005
IEEE
16 years 5 months ago
Modeling and Learning Contact Dynamics in Human Motion
We propose a simple model of human motion as a switching linear dynamical system where the switches correspond to contact forces with the ground. This significantly improves the m...
Alessandro Bissacco
ICCV
2001
IEEE
16 years 5 months ago
Propagation of Innovative Information in Non-Linear Least-Squares Structure from Motion
We present a new technique that improves upon existing structure from motion (SFM) methods. We propose a SFM algorithm that is both recursive and optimal. Our method incorporates ...
Drew Steedly, Irfan A. Essa
ICIP
2003
IEEE
16 years 4 months ago
Precise real-time outlier removal from motion vector fields for 3D reconstruction
Finding the correct correspondences in an image sequence is a significant task for deriving 3D structure from motion. Most research has concentrated on extracting and matching sal...
Andreas Dante, Mike Brookes