Feature Tracking Professors in Global

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Computer Vision
RWTH Aachen University Germany
tracking
machine learning
visual object recognition
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Professor
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Rik Vullings
Eindhoven University of Technology Belgium
pattern recognition
modeling
machine learning
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Mahmoud El-sakka
Western University Canada
pattern recognition
image analysis
machine learning
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Theo Gevers
University of Amsterdam Netherlands
pattern recognition
image analysis
machine learning
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Len Hamey
Macquarie University Australia
pattern recognition
image analysis
machine learning
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Jaime Ide
Yale University United States of America
pattern recognition
machine learning
predictive modeling
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Magnus Röding
Chalmers University of Technology Sweden
image analysis
machine learning
physical modeling
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Richard Mccreadie
University of Glasgow United Kingdom
tracking
event detection
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Bastian Leibe
RWTH Aachen University Germany
tracking
object detection
machine learning
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Arash Mohammadi
Concordia University Canada
tracking
machine learning
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Christian Smith
KTH Royal Institute of Technology Sweden
human tracking
motion modeling
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Martin Bagger
Aarhus University Denmark
process tracing
eye tracking methodologies
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Shizhen Chang
Linköping University Sweden
feature retrieval
change detection
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Henrik Nyholt
Technical University of Denmark Denmark
sample tracking systems
data logging
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John Canny
University of California, Berkeley United States of America
motion sensing
edge detection
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Mårten Wadenbäck
Linköping University Sweden
robust feature matching
machine learning
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Ralf Peeters
Maastricht University Netherlands
pattern recognition feature extraction
machine learning
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Ralf Peeters
Maastricht University Netherlands
pattern recognition feature extraction
machine learning
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Loren Nolte
Duke University Singapore
tracking decision
signal detection
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Morten Kristiansen
Aalborg University Denmark
process monitoring
modeling
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Justinas Smertinas
Technical University of Denmark Denmark
characteristic extraction
machine learning
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