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EXPERT
2010
145views more  EXPERT 2010»
13 years 3 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
CVPR
2010
IEEE
14 years 2 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
ECML
2005
Springer
13 years 11 months ago
A Model Based Method for Automatic Facial Expression Recognition
Automatic facial expression recognition is a research topic with interesting applications in the ï¬eld of human-computer interaction, psychology and product marketing. The classiï...
Hans van Kuilenburg, Marco Wiering, Marten den Uyl
PR
2006
78views more  PR 2006»
13 years 6 months ago
Similarity-based analysis for large networks of ultra-low resolution sensors
By analyzing the similarities between bit streams coming from a network of motion detectors, we can recover the network geometry and discover structure in the human behavior being...
Christopher Richard Wren, David C. Minnen, Sriniva...
JOCN
2011
100views more  JOCN 2011»
12 years 9 months ago
The Emergence of Perceived Position in the Visual System
■ Representing object position is one of the most critical functions of the visual system, but this task is not as simple as reading off an objectʼs retinal coordinates. A rich...
Jason Fischer, Nicole Spotswood, David Whitney