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» The Motif Tracking Algorithm
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NIPS
2007
15 years 7 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
167
Voted
IJMMS
2008
80views more  IJMMS 2008»
15 years 6 months ago
Real-time classification of evoked emotions using facial feature tracking and physiological responses
We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...
Jeremy N. Bailenson, Emmanuel D. Pontikakis, Iris ...
PAMI
2007
157views more  PAMI 2007»
15 years 6 months ago
The Asymmetry of Image Registration and Its Application to Face Tracking
Most image registration problems are formulated in an asymmetric fashion. Given a pair of images, one is implicitly or explicitly regarded as a template, and warped onto the other...
Göksel Dedeoglu, Takeo Kanade, Simon Baker
WIOPT
2010
IEEE
15 years 4 months ago
Flunet: Automated tracking of contacts during flu season
— By analyzing people’s contact patterns over time, it is possible to build efficient delay tolerant networking (DTN) algorithms and derive important data for parameterizing an...
Mohammad S. Hashemian, Kevin G. Stanley, Nathaniel...
CVPR
2010
IEEE
16 years 2 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang