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CVPR
2004
IEEE
15 years 11 months ago
A Probabilistic Framework for Combining Tracking Algorithms
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
ICNSC
2008
IEEE
15 years 4 months ago
A Theoretic Framework for Object Class Tracking
— suppose we have a video, the first half of this video is capturing the images of a sedan and the second half is recording the moving of a truck, can we use the same video track...
Yu Cao, Steve Read, Sachin Raka, Revanth Nandamuri
ECCV
2004
Springer
15 years 11 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
73
Voted
MMM
2010
Springer
188views Multimedia» more  MMM 2010»
15 years 6 months ago
Reducing Frame Rate for Object Tracking
Object tracking is commonly used in video surveillance, but typically video with full frame rate is sent. We previously have shown that full frame rate is not needed, but it is unc...
Pavel Korshunov, Wei Tsang Ooi
CVPR
2010
IEEE
15 years 6 months ago
Tracking People Interacting with Objects
While the problem of tracking 3D human motion has been widely studied, most approaches have assumed that the person is isolated and not interacting with the environment. Environme...
Hedvig Kjellstrom, Michael Black, Danica Kragic