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ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
CVPR
2008
IEEE
14 years 9 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
CVPR
2010
IEEE
14 years 1 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
CVIU
2008
207views more  CVIU 2008»
13 years 7 months ago
A differential geometric approach to representing the human actions
This paper presents a novel representation for human actions which encodes the variations in the shape and motion of the performing actor. When an actor performs an action, at eac...
Alper Yilmaz, Mubarak Shah
ECAI
2000
Springer
14 years 8 hour ago
Turning High-Level Plans into Robot Programs in Uncertain Domains
The actions of a robot like lifting an object are often best thought of as low-level processes with uncertain outcome. A highlevel robot plan can be seen as a description of a task...
Henrik Grosskreutz, Gerhard Lakemeyer