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» Learning to Track with Multiple Observers
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WACV
2005
IEEE
13 years 11 months ago
Learning to Track Objects Through Unobserved Regions
As tracking systems become more effective at reliably tracking multiple objects over extended periods of time within single camera views and across overlapping camera views, incre...
Chris Stauffer
IBPRIA
2009
Springer
13 years 3 months ago
Real-Time Motion Detection for a Mobile Observer Using Multiple Kernel Tracking and Belief Propagation
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
Marc Vivet, Brais Martínez, Xavier Binefa
MVA
2002
128views Computer Vision» more  MVA 2002»
13 years 5 months ago
Observation of Pedestrians with Multiple Views
When pedestriansare observed using a view in the urban area, it is often difficultto track them because of the occlusions overlapped by roadside trees, traffic signs, advertising ...
Tokuyuki Mahara, Tameharu Hasegawa, Heitoh Zen
CVPR
2005
IEEE
14 years 7 months ago
Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras
When viewed from a system of multiple cameras with nonoverlapping fields of view, the appearance of an object in one camera view is usually very different from its appearance in a...
Omar Javed, Khurram Shafique, Mubarak Shah
UAI
2004
13 years 6 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer