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» Transitional Activity Recognition with Manifold Embedding
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BSN
2009
IEEE
106views Sensor Networks» more  BSN 2009»
13 years 9 months ago
Transitional Activity Recognition with Manifold Embedding
— Activity monitoring is an important part of pervasive sensing, particularly for assessing activities of daily living for elderly patients and those with chronic diseases. Previ...
Raza Ali, Louis Atallah, Benny P. L. Lo, Guang-Zho...
CVPR
2004
IEEE
14 years 6 months ago
Probabilistic Expression Analysis on Manifolds
In this paper, we propose a probabilistic videobased facial expression recognition method on manifolds. The concept of the manifold of facial expression is based on the observatio...
Ya Chang, Changbo Hu, Matthew Turk
BMVC
2010
13 years 2 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
IVC
2006
154views more  IVC 2006»
13 years 4 months ago
Manifold based analysis of facial expression
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk
ICIP
2010
IEEE
13 years 2 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang