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» Markov Random Field Models in Computer Vision
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CVPR
1997
IEEE
15 years 5 months ago
LAFTER: Lips and Face Real-Time Tracker
This paper describes an active-camera real-time system for tracking, shape description, and classification of the human face and mouth using only an SGI Indy computer. The system...
Nuria Oliver, Alex Pentland, François B&eac...
ICCV
2001
IEEE
16 years 3 months ago
Separating Appearance from Deformation
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...
Nebojsa Jojic, Patrice Simard, Brendan J. Frey, Da...
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
ICPR
2006
IEEE
16 years 2 months ago
Unusual Event Detection via Multi-camera Video Mining
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...
Hanning Zhou, Don Kimber
ICPR
2008
IEEE
15 years 8 months ago
Detecting queues at vending machines: A statistical layered approach
This paper presents a method for monitoring activities at a ticket vending machine in a video-surveillance context. Rather than relying on the output of a tracking module, which i...
Xavier Naturel, Jean-Marc Odobez