Motion Object Recognition Professors in Global

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John Canny
University of California, Berkeley United States of America
motion sensing
edge detection
computer vision
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Eline Van Der Kruk
Delft University of Technology Netherlands
human motion capture
movement optimization
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J.c. Van Gemert
Delft University of Technology Netherlands
pattern recognition
motion architecture
detection
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Christian Smith
KTH Royal Institute of Technology Sweden
motion modeling
human tracking
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Julian Kooij
Delft University of Technology Netherlands
3d object detection
computer vision
visual localization
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Joseph Degutis
Boston University United States of America
facial recognition
face pattern recognition
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Josien Pluim
Eindhoven University of Technology Belgium
image detection
machine learning
image segmentation
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Josien Pluim
Eindhoven University of Technology Belgium
image detection
machine learning
image segmentation
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Kavita Bala
Cornell University Netherlands
material recognition
computer vision
visual search detection
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Yuankai Qi
Macquarie University Australia
visual object tracking
video anomaly detection
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Javad Alirezaie
Toronto Metropolitan University Canada
pattern recognition
image processing
computer vision modeling
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Russell Mersereau
Georgia Institute of Technology United States of America
pattern recognition
image and video processing
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Shizhen Chang
Linköping University Sweden
change detection
feature retrieval
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Martijn Wisse
Delft University of Technology Netherlands
dynamic movements
robot mobility
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Guillermo Sapiro
Duke University Singapore
computer vision
machine learning
mathematical image processing
image video processing
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Sandy Napel
Stanford University United States of America
computer-aided detection
image segmentation
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Yiqiu Dong
Technical University of Denmark Denmark
mathematical image processing
video processing
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Hamid Karimi-rouzbahani
Macquarie University Australia
brain representation of objects
visual processing
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Weihao Li
Australian National University Australia
object detection
open-set recognition
image segmentation
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Martin Jagersand
University of Alberta Canada
computer vision
vision-guided motion control
real-time video tracking
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David Morris
University of Manchester United Kingdom
computer vision
real-time video processing
image segmentation
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