Concept

Pose tracking

Related publications (212)

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An acoustic multiple target tracker

Volkan Cevher

We propose a particle filter acoustic tracker to track multiple maneuvering targets using a state space formulation with a locally linear motion model. The observations are a batch of direction-of-arrival (DOA) estimates at various frequencies. The data li ...

2005

A probabilistic framework for joint head tracking and pose estimation

Jean-Marc Odobez, Silèye Oumar Ba

Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, precision in head pose estimation is dependent on tracking accuracy which itself c ...

2004

Tracking People in Meetings with Particles

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud, Silèye Oumar Ba, Kevin Smith

Automatic meeting analysis is an emerging research field. In this paper, we present stochastic algorithms for tracking people in multi-sensor meeting rooms, for a number of relevant tasks, including tracking multiple people, tracking head pose towards anal ...

IDIAP2004

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

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

Conducting a virtual orchestra

Daniel Thalmann, Frédéric Vexo, Sébastien Schertenleib

The virtual orchestra is a multimodal system architecture based on complex 3D sound environment processing and a compact user interface. The system architecture supports high-performance sound content for VR (virtual reality) applications, and the user con ...

IEEE2004

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

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

Multi modal tracking in complex environments for augmented reality applications

This work presents a model based real-time method for tracking 3D objects with a monocular camera. Our goal is to implement a tracking algorithm with a non conventional robustness in order to be used in hostile environments. We achieve this goal by integra ...

EPFL2004

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