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Multi-Person Tracking in Meetings: A Comparative Study

Publications associées (40)

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Multi-Person Tracking in Meetings: A Comparative Study

Daniel Gatica-Perez, Kevin Smith

In this paper, we present the findings of the Augmented Multiparty Interaction (AMI) project investigation on the localization and tracking of 2D head positions in meetings. The focus of the study was to test and evaluate various multi-person tracking meth ...

IDIAP2006

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

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

Hybrid Tracking for Augmented Reality

Touradj Ebrahimi

Accurate registration between real and virtual objects is critical for Augmented Reality (AR) applications. State of the art shows that no tracking device is individually adequate. We present a data fusion framework that combines orientation measurements o ...

2005

Online Registration Tool and Markerless Tracking for Augmented Reality

Touradj Ebrahimi, Yousri Abdeljaoued

This paper presents a markerless tracking algorithm for augmented reality with no constraints in the geometry of the scene. Users pose is estimated using natural feature point extraction and tracking, and the epipolar geometry constraint between camera vi ...

2005

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 ...

2005

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

Tracking People in Meetings with Particles

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

IDIAP2004

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

Human motion capture driven by orientation measurements

Daniel Thalmann, Ronan Boulic

Motion capture techniques are rarely based on orientation measurements for two main reasons: (1) optical motion capture systems are designed for tracking object position rather than their orientation (which can be deduced from several trackers), (2) known ...

MIT Press1999