This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within ...
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 presents two techniques for improving human body tracking within the particle filtering scheme. Both techniques explore the use of auxiliary measurements. The first tec...
DATA available at http://www.tnt.uni-hannover.de/project/MPI08_Database/!
In this work, we present an approach to fuse video with
orientation data obtained from extended iner...
Gerard Pons-Moll, Andreas Baak, Thomas Helten, Mei...
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Abstract. There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and se...
The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. T...
Andrea Fossati (EPFL), Mathieu Salzmann (Universit...
Andrea Fossati received his B.Sc. degree in Computer Engineering in 2003 from Politecnico di Milano, Milan, Italy. He completed a M.Sc. in Computer Engineering at Polit...