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ECSQARU
2005
Springer
14 years 2 months ago
Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching
This paper is part of a project to match real-world descriptions of instances of objects to models of objects. We use a rich ontology to describe s and models at multiple levels of...
David Poole, Clinton Smyth
CVPR
1999
IEEE
14 years 11 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
ICIP
2010
IEEE
13 years 6 months ago
Detecting multiple copies in tampered images
Copy-move forgeries are parts of the image that are duplicated elsewhere into the same image, often after being modified by geometrical transformations. In this paper we present a...
Edoardo Ardizzone, Alessandro Bruno, Giuseppe Mazz...
MVA
1996
168views Computer Vision» more  MVA 1996»
13 years 10 months ago
Real-time Tracking with Kalman Filter
automatically updated during the matching process, This paper describes a real-time tracking system which detects an object entering into the field of view of camera and executes t...
Dae-Sik Jang, Hyung-Il Choi, Gye-Young Kim
IJCV
2006
159views more  IJCV 2006»
13 years 9 months ago
Wide Baseline Matching between Unsynchronized Video Sequences
3D reconstruction of a dynamic scene from features in two cameras usually requires synchronization and correspondences between the cameras. These may be hard to achieve due to occl...
Lior Wolf, Assaf Zomet