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» Map-Based Multiple Model Tracking of a Moving Object
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CVPR
2009
IEEE
16 years 6 months ago
Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling
We propose a novel tracking algorithm for the target of which geometric appearance changes drastically over time. To track it, we present a local patch-based appearance model and p...
Junseok Kwon (Seoul National University), Kyoung M...
ICPR
2008
IEEE
15 years 7 months ago
Multivariate Laplace Filter: A heavy-tailed model for target tracking
Video-based target tracking is a challenging task, because there always appears to be complex occlusion among the varying number of objects. Also, in practice, it is very common t...
Daojing Wang, Chao Zhang, Xuemin Zhao
ICASSP
2011
IEEE
14 years 5 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
IVC
2007
89views more  IVC 2007»
15 years 1 months ago
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, e...
Paul Brasnett, Lyudmila Mihaylova, David R. Bull, ...
CVPR
2000
IEEE
16 years 3 months ago
Real-Time Tracking of Non-Rigid Objects Using Mean Shift
A new method for real-time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module is based on the mean shift iterations and nds the ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer