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» Using Occlusion Calculi to Interpret Digital Images
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ICCV
2009
IEEE
13 years 3 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
PAMI
2008
188views more  PAMI 2008»
13 years 5 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
INFOVIS
2003
IEEE
13 years 11 months ago
Constant Density Displays Using Diversity Sampling
The Informedia Digital Video Library user interface summarizes query results with a collage of representative keyframes. We present a user study in which keyframe occlusion caused...
Mark Derthick, Michael G. Christel, Alexander G. H...
MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 7 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
CVPR
1998
IEEE
14 years 7 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson