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» Robust Human Pose Recognition Using Unlabelled Markers
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CVPR
2005
IEEE
14 years 9 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
TABLETOP
2008
IEEE
14 years 1 months ago
Presenting using two-handed interaction in open space
Based on recent demonstrations of low-cost, infrared-based point tracking, we explore two-handed, surface-less interaction for presentation. On both hands, thumb and index finger...
Luc Vlaming, Jasper Smit, Tobias Isenberg
BMVC
2010
13 years 4 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
HUMO
2007
Springer
14 years 1 months ago
Human Action Recognition Using Distribution of Oriented Rectangular Patches
We describe a “bag-of-rectangles” method for representing and recognizing human actions in videos. In this method, each human pose in an action sequence is represented by orien...
Nazli Ikizler, Pinar Duygulu
ICRA
2000
IEEE
192views Robotics» more  ICRA 2000»
13 years 11 months ago
Robust Localization for 3D Object Recognition Using Local EGI and 3D Template Matching with M-Estimators
A tele-operated system in a robot greatly reduces the demands on the human operator, although some human intervention is still required to perform such tasks as insulator recognit...
Kentaro Kawamura, Kiminori Hasegawa, Yasuyuki Some...