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ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
13 years 11 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
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
13 years 3 months ago
Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study
— Data collection using Autonomous Underwater Vehicles (AUVs) is increasing in importance within the oceanographic research community. Contrary to traditional moored or static pl...
Ryan N. Smith, Arvind Pereira, Yi Chao, Peggy Li, ...
ICCV
2003
IEEE
14 years 6 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
OOPSLA
2005
Springer
13 years 10 months ago
GOOAL: an educational object oriented analysis laboratory
Our goal is to enable rapid production of static and dynamic object models from natural language description of problems. Rapid modeling is achieved through automation of analysis...
Hector G. Pérez-González, Jugal K. K...
SIGGRAPH
2010
ACM
13 years 9 months ago
High resolution passive facial performance capture
We introduce a purely passive facial capture approach that uses only an array of video cameras, but requires no template facial geometry, no special makeup or markers, and no acti...
Derek Bradley, Wolfgang Heidrich, Tiberiu Popa, Al...