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» Occlusion Modeling by Tracking Multiple Objects
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130
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ECCV
2010
Springer
15 years 7 months ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
146
Voted
ISMAR
2003
IEEE
15 years 8 months ago
Fully Automated and Stable Registration for Augmented Reality Applications
We present a fully automated approach to camera registration for Augmented Reality systems. It relies on purely passive vision techniques to solve the initialization and realtime ...
Vincent Lepetit, Luca Vacchetti, Daniel Thalmann, ...
CVPR
2006
IEEE
16 years 5 months ago
Object Pose Detection in Range Scan Data
We address the problem of detecting complex articulated objects and their pose in 3D range scan data. This task is very difficult when the orientation of the object is unknown, an...
Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, D...
103
Voted
ICCV
1999
IEEE
15 years 7 months ago
A Subset Approach to Contour Tracking in Clutter
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
Daniel Freedman, Michael S. Brandstein
116
Voted
IJCV
2000
97views more  IJCV 2000»
15 years 3 months ago
Contour Tracking in Clutter: A Subset Approach
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of c...
Daniel Freedman, Michael S. Brandstein