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» Modeling Moving Objects over Multiple Granularities
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TEC
2010
171views more  TEC 2010»
13 years 3 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
DASFAA
2007
IEEE
151views Database» more  DASFAA 2007»
13 years 10 months ago
The Tornado Model: Uncertainty Model for Continuously Changing Data
To support emerging database applications that deal with continuously changing (or moving) data objects (CCDOs), such as vehicles, RFIDs, and multi-stimuli sensors, one requires an...
Byunggu Yu, Seon Ho Kim, Shayma Alkobaisi, Wan D. ...
CGF
2007
101views more  CGF 2007»
13 years 8 months ago
Consistent Viewing and Interaction for Multiple Users in Projection-Based VR Systems
In projection-based Virtual Reality (VR) systems, typically only one headtracked user views stereo images rendered from the correct view position. For other users, who are present...
Gerwin de Haan, Rene Molenaar, Michal Koutek, Frit...
ICRA
2009
IEEE
164views Robotics» more  ICRA 2009»
14 years 3 months ago
Assigning cameras to subjects in video surveillance systems
— We consider the problem of tracking multiple agents moving amongst obstacles, using multiple cameras. Given an environment with obstacles, and many people moving through it, we...
Hazem El-Alfy, David Jacobs, Larry Davis
CVPR
2012
IEEE
11 years 11 months ago
Locally Orderless Tracking
Locally Orderless Tracking (LOT) is a visual tracking algorithm that automatically estimates the amount of local (dis)order in the object. This lets the tracker specialize in both...
Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avid...