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ECCV
2004
Springer
15 years 11 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
ICCV
2009
IEEE
14 years 7 months ago
Complex volume and pose tracking with probabilistic dynamical models and visual hull constraints
We propose a method for estimating the pose of a human body using its approximate 3D volume (visual hull) obtained in real time from synchronized videos. Our method can cope with ...
Norimichi Ukita, Michiro Hirai, Masatsugu Kidode
CVPR
2010
IEEE
15 years 5 months ago
Visual Object Tracking using Adaptive Correlation Filters
Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of current state-ofthe-ar...
David Bolme, J Ross Beveridge, Bruce Draper, Yui M...
TSMC
2010
14 years 4 months ago
A Two-Stage Dynamic Model for Visual Tracking
We propose a new dynamic model which can be used within blob trackers to track the target's center of gravity. A strong point of the model is that it is designed to track a va...
Matej Kristan, Stanislav Kovacic, Ales Leonardis, ...
FGR
2000
IEEE
132views Biometrics» more  FGR 2000»
15 years 1 months ago
Self-Organized Integration of Adaptive Visual Cues for Face Tracking
A mechanism for the self-organized integration of different adaptive cues is proposed. In Democratic Integration the cues agree on a result and each cue adapts towards the result ...
Jochen Triesch, Christoph von der Malsburg