Publications associées à Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

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Style-based Motion Synthesis

Daniel Thalmann, Pascal Fua, Ronan Boulic, Raquel Urtasun, Pascal Glardon

Representing motions as linear sums of principal components has become a widely accepted animation technique. While powerful, the simplest version of this approach is not particularly well suited to modeling the specific style of an individual whose motion ...

Wiley-Blackwell2004

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

Pascal Fua, Raquel Urtasun, Lorna Herda

To increase the reliability of existing human motion tracking algorithms, we propose a method for imposing limits on the underlying hierarchical joint structures in a way that is true to life. Unlike most existing approaches, we explicitly represent depend ...

2004

Mahalanobis Motion Generation

Daniel Thalmann, Pascal Fua, Raquel Urtasun, Pascal Glardon

2004

Spatio-Temporal Shadow Segmentation and Tracking

Touradj Ebrahimi, Elena Salvador

Shadow segmentation is a critical issue for systems aiming at extracting, tracking or recognizing objects in a given scene. Shadows can in fact modify the shape and colour of objects and therefore affect scene analysis and interpretation systems in many ap ...

SPIE2003

Embedding Motion in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filtering is now established as one of the most popular method for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states. In this paper ...

IDIAP2003

Behavioural animation of virtual humans: what kind of laws and rules ?

Daniel Thalmann, Jean-Sébastien Monzani

Interactive systems, games, VR and multimedia systems require more and more flexible Virtual Humans with individualities. Behavioral animation seems to be the best way to develop this kind of applications, but there is still a major problem to select the r ...

IEEE Comput. Soc2002

Skeleton-based motion capture for robust reconstruction of human motion

Daniel Thalmann, Pascal Fua, Ronan Boulic, Lorna Herda, Ralf Plänkers

Optical motion capture provides an impressive ability to replicate gestures. However, even with a highly professional system there are many instances where crucial markers are occluded or when the algorithm confuses the trajectory of one marker with that o ...

2000

Visualization of local movements for optimal marker positioning

Daniel Thalmann, Ronan Boulic, Marius-Calin Silaghi

Motion capture has been adopted for the production of highly realistic movements, as well as for the clinical analysis of pathological motion. In both cases, a skeleton model has to be identified to derive the joint motion. The optical technology has gaine ...

2000

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

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Style-based Motion Synthesis

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

Mahalanobis Motion Generation

Spatio-Temporal Shadow Segmentation and Tracking

Embedding Motion in Model-Based Stochastic Tracking

The Snake Origin

Robust tracking and segmentation of human motion in an image sequence

Behavioural animation of virtual humans: what kind of laws and rules ?

Skeleton-based motion capture for robust reconstruction of human motion

Visualization of local movements for optimal marker positioning

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

Embedding Motion in Model-Based Stochastic Tracking

The Snake Origin

Style-based Motion Synthesis

Mahalanobis Motion Generation

Spatio-Temporal Shadow Segmentation and Tracking

Robust tracking and segmentation of human motion in an image sequence

Behavioural animation of virtual humans: what kind of laws and rules ?

Skeleton-based motion capture for robust reconstruction of human motion

Visualization of local movements for optimal marker positioning