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Hierarchical Implicit Surface Joint Limits for Human Body Tracking

Publications associées (34)

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Motion models for robust 3D human body tracking

Raquel Urtasun

In this work, we propose new ways to learn pose and motion priors models and show that they can be used to increase the performance of 3D body tracking algorithms, resulting in very realistic motions under very challenging conditions. We first explored an ...

EPFL2006

Embedding Motion in Model-Based Stochastic Tracking

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

Particle filtering (PF) is now established as one of the most popular methods 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, and the ...

2006

Temporal Motion Models for Monocular and Multiview 3–D Human Body Tracking

Pascal Fua, Raquel Urtasun

We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differ- entiable criterion whose differential structure is rich enough for optimization to b ...

Elsevier2006

Robust Infants Face Tracking with Active Appearance Model : a Mixed State Condensation Approach

Jean-Philippe Thiran, Matteo Sorci, Luigi Bagnato

This work addresses the problem of tracking, in real video sequences, the global motion of an infant face as well as the local motion of its inner features. This is a challenging task in Computer Vision field, because of the variability of facial appearanc ...

2006

This document describes our work to provide a video database, of people in real situations with their head pose continuously annotated through time. The head poses were annotated using a magnetic 3d location and orientation tracker, the flock of bird. The ...

IDIAP2005

Browsing the environment with the SNAP&TELL wearable computer system

Ali H. Sayed

This paper provides an overview of a multi-modal wearable computer system, SNAP&TELL. The system performs real-time gesture tracking, combined with audio-based control commands, in order to recognize objects in an environment, including outdoor landmarks. ...

Springer-Verlag2005

3D human body tracking using deterministic temporal motion models

Pascal Fua, Raquel Urtasun

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 seek to avoid becoming trapped into local minima by considering multiple hypotheses, whi ...

Springer2004

Embedding motion in model-based stochastic tracking

Daniel Gatica-Perez, Jean-Marc Odobez

2004

3D Tracking for Gait Characterization and Recognition

Pascal Fua, Raquel Urtasun

We propose an approach to gait analysis that relies on fitting 3--D temporal motion models to synchronized video sequences. These models allow us not only to track but also to recover motion parameters that can be used to recognize people and characterize ...

2004

Particle filtering is now established as one of the most popular methods for visual tracking. Within this framework, there are two important considerations. The first one refers to the generic assumption that the observations are temporally independent giv ...

IDIAP2004