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PAMI
2007
186views more  PAMI 2007»
13 years 7 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
HRI
2006
ACM
14 years 1 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
ICDM
2009
IEEE
122views Data Mining» more  ICDM 2009»
14 years 2 months ago
Detecting and Interpreting Variable Interactions in Observational Ornithology Data
In this paper we demonstrate a practical approach to interaction detection on real data describing the abundance of different species of birds in the prairies east of the souther...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Wes...
AIME
2005
Springer
13 years 9 months ago
EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations
In the objective of building care team guidelines from field observations, this paper introduces a representation method for describing the medical collaborative activities during ...
Liliane Pellegrin, Nathalie Bonnardel, Franç...
AVSS
2009
IEEE
13 years 10 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni