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» Occlusion Modeling by Tracking Multiple Objects
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ICCV
2007
IEEE
16 years 1 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
CVPR
2009
IEEE
15 years 6 months ago
Non-rigid 2D-3D pose estimation and 2D image segmentation
In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image segmentation. In general, most frameworks which couple both pose est...
Romeil Sandhu, Samuel Dambreville, Anthony J. Yezz...
CVPR
1999
IEEE
16 years 1 months ago
Bayesian Multi-Camera Surveillance
The task of multi-camera surveillance is to reconstruct the paths taken by all moving objects that are temporarily visible from multiple non-overlapping cameras. We present a Baye...
Vera Kettnaker, Ramin Zabih
AMFG
2003
IEEE
163views Biometrics» more  AMFG 2003»
15 years 5 months ago
Pose Estimation using 3D View-Based Eigenspaces
In this paper we present a method for estimating the absolute pose of a rigid object based on intensity and depth viewbased eigenspaces, built across multiple views of example obj...
Louis-Philippe Morency, Patrik Sundberg, Trevor Da...
ISMAR
2009
IEEE
15 years 6 months ago
Mobile augmented reality based 3D snapshots
: In this paper, we present a mobile augmented reality application that is based on the acquisition of user-generated content obtained by 3D snapshotting. To take a 3D snapshot of ...
Peter Keitler, Frieder Pankratz, Björn Schwer...