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» Action Recognition Using Probabilistic Parsing
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ICDAR
2003
IEEE
14 years 22 days ago
Parsing N-Best Lists of Handwritten Sentences
This paper investigates the application of a probabilistic parser for natural language on the list of the Nbest sentences produced by an off-line recognition system for cursive h...
Matthias Zimmermann, Jean-Cédric Chappelier...
IBPRIA
2005
Springer
14 years 29 days ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is f...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
14 years 1 months ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
COLING
1996
13 years 8 months ago
An Earley-type recognizer for dependency grammar
The paper is a first attempt to fill a gap in the dependency literature, by providing a mathematical result on the complexity of recognition with a dependency grammar. The paper d...
Vincenzo Lombardo, Leonardo Lesmo
CVPR
2010
IEEE
14 years 3 months ago
A Hough Transform-Based Voting Framework for Action Recognition
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
Angela Yao, Juergen Gall, Luc Van Gool