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» Conditional models for contextual human motion recognition
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ICASSP
2010
IEEE
13 years 9 months ago
Phone recognition using Restricted Boltzmann Machines
For decades, Hidden Markov Models (HMMs) have been the state-of-the-art technique for acoustic modeling despite their unrealistic independence assumptions and the very limited rep...
Abdel-rahman Mohamed, Geoffrey E. Hinton
ICIP
2005
IEEE
14 years 10 months ago
Flow lookup and biological motion perception
Optical flow in monocular video can serve as a key for recognizing and tracking the three-dimensional pose of human subjects. In comparison with prior work using silhouettes as a ...
Nicholas R. Howe
BMVC
2002
13 years 11 months ago
Teleoperating ROBONAUT: A case study
In this paper, we present a non-intrusive method for human motion estimation from a monocular video camera for the teleoperation of ROBONAUT (ROBOtic astroNAUT). ROBONAUT is an an...
G. Martinez, Ioannis A. Kakadiaris, Darby Magruder
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
14 years 2 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal
WACV
2002
IEEE
14 years 1 months ago
Arm Gesture Detection in a Classroom Environment
Detecting human arm motion in a typical classroom environment is a challenging task due to the noisy and highly dynamic background, varying light conditions, as well as the small ...
Jie Yao, Jeremy R. Cooperstock