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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 4 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
DAGM
2004
Springer
15 years 2 months ago
Differential Analysis of Two Model-Based Vehicle Tracking Approaches
An experimental comparison of `Edge-Element Association (EEA)' and `Marginalized Contour (MCo)' approaches for 3D modelbased vehicle tracking in traffic scenes is complic...
Hendrik Dahlkamp, Arthur E. C. Pece, Artur Ottlik,...
96
Voted
AMDO
2006
Springer
15 years 2 months ago
Monocular Tracking with a Mixture of View-Dependent Learned Models
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
PR
2008
185views more  PR 2008»
14 years 10 months ago
Robust head tracking using 3D ellipsoidal head model in particle filter
This paper proposes a real-time 3D head tracking method that can handle large rotation and translation. To achieve this goal, we incorporate the following three approaches into th...
Sukwon Choi, Daijin Kim
TSP
2010
14 years 5 months ago
Doubly selective channel estimation using exponential basis models and subblock tracking
Three versions of a novel adaptive channel estimation approach, exploiting the over-sampled complex exponential basis expansion model (CE-BEM), is presented fordoubly selectivechan...
Jitendra K. Tugnait, Shuangchi He, Hyosung Kim