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ICIP
2007
IEEE
15 years 11 months ago
Mining Auxiliary Objects for Tracking by Multibody Grouping
On-line discovery of some auxiliary objects to verify the tracking results is a novel approach to achieving robust tracking by balancing the need for strong verification and compu...
Ming Yang, Ying Wu, Shihong Lao
80
Voted
TOG
2008
127views more  TOG 2008»
14 years 9 months ago
Animating responsive characters with dynamic constraints in near-unactuated coordinates
This paper presents a technique to enhance a kinematically controlled virtual character with a generic class of dynamic responses to small perturbations. Given an input motion seq...
Yuting Ye, C. Karen Liu
206
Voted
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
15 years 11 months ago
Efficient Processing of Warping Time Series Join of Motion Capture Data
Discovering non-trivial matching subsequences from two time series is very useful in synthesizing novel time series. This can be applied to applications such as motion synthesis wh...
Yueguo Chen, Gang Chen, Ke Chen, Beng Chin Ooi
JMLR
2010
135views more  JMLR 2010»
14 years 4 months ago
Structured Prediction Cascades
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
David Weiss, Benjamin Taskar
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach