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» Modeling Moving Objects over Multiple Granularities
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HRI
2006
ACM
14 years 1 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ECSQARU
2005
Springer
14 years 1 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
SIGMOD
1989
ACM
103views Database» more  SIGMOD 1989»
13 years 11 months ago
ODE (Object Database and Environment): The Language and the Data Model
ODE is a database system and environment based on the object paradigm. It offers one integrated data model for both database and general purpose manipulation. The database is defi...
Rakesh Agrawal, Narain H. Gehani
ICCV
2001
IEEE
14 years 9 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick
ICIP
2008
IEEE
14 years 2 months ago
A fuzzy approach for background subtraction
Background Subtraction is a widely used approach to detect moving objects from static cameras. Many different methods have been proposed over the recent years and can be classifi...
Fida El Baf, Thierry Bouwmans, Bertrand Vachon