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» Occlusion Modeling by Tracking Multiple Objects
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ICCV
2007
IEEE
15 years 11 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 4 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
15 years 11 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 3 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 4 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...