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» Smoothed Motion Complexity
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NIPS
2000
13 years 10 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»
13 years 10 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
14 years 11 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
14 years 11 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
14 years 10 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