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...
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,...
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...
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...
Three versions of a novel adaptive channel estimation approach, exploiting the over-sampled complex exponential basis expansion model (CE-BEM), is presented fordoubly selectivechan...