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Observable Subspaces for 3D Human Motion Recovery

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A Video Database for Head Pose Tracking Evaluation

Jean-Marc Odobez, Silèye Oumar Ba

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

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

Embedding motion in model-based stochastic tracking

Daniel Gatica-Perez, Jean-Marc Odobez

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 ...

2004

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

Motion tracking for human-robot interaction

Björn Jensen

This thesis aims at improving the perceptional side of interaction to enable the handling of more complex situations. For the Swiss National Exposition Expo.02 the robot RoboX and an event-driven interaction system have been designed by members of our lab. ...

EPFL2004

3D Human Body Tracking using Deterministic Temporal Motion Models

Pascal Fua, Raquel Urtasun

By contrast, in this paper, we use temporal motion models based on Principal Component Analysis to formulate the tracking problem as one of minimizing differentiable objective functions. The differential structure of these functions is rich enough to yield ...

2004

Using biomechanical constraints to improve video-based motion capture

Lorna Herda

In motion capture applications whose aim is to recover human body postures from various input, the high dimensionality of the problem makes it desirable to reduce the size of the search-space by eliminating a priori impossible configurations. This can be c ...

EPFL2004

Motion likelihood and proposal modeling in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez

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

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

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