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» A computational framework for incremental motion
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127
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IROS
2008
IEEE
172views Robotics» more  IROS 2008»
15 years 10 months ago
Motion planning in urban environments: Part II
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
Dave Ferguson, Thomas M. Howard, Maxim Likhachev
ICCV
2001
IEEE
16 years 5 months ago
Articulated Soft Objects for Video-based Body Modeling
We develop a framework for 3?D shape and motion recovery of articulated deformable objects. We propose a formalism that incorporates the use of implicit surfaces into earlier robo...
Pascal Fua, Ralf Plänkers
113
Voted
ICCV
2009
IEEE
16 years 8 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen
IJCV
2002
219views more  IJCV 2002»
15 years 3 months ago
View-Invariant Representation and Recognition of Actions
Analysis of human perception of motion shows that information for representing the motion is obtained from the dramatic changes in the speed and direction of the trajectory. In thi...
Cen Rao, Alper Yilmaz, Mubarak Shah
169
Voted
HUMO
2007
Springer
15 years 5 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger