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Tracking People in Meetings with Particles

Publications associées (39)

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Multi-camera 3d person tracking with particle filter in a surveillance environment

Jean-Marc Odobez

In this work we present and evaluate a novel 3D approach to track single people in surveillance scenarios, using multiple cameras. The problem is formulated in a Bayesian filtering framework, and solved through sampling approximations (i.e. using a particl ...

2008

Map-based Autonomous Personal Localization and Tracking

Michel Bierlaire, Bertrand Merminod

An autonomous localisation and tracking method is a method independent from the reception of external data. In our approach we ignore methods like GPS- and WiFi- positioning and we focus on the use of inertial navigation system (INS) carried by the person ...

2007

Joint head tracking and pose estimation for visual focus of attention recognition

Silèye Oumar Ba

During the last two decades, computer science what are the ability to give to provide to machines in order to give them the ability to understand human behavior. One of them which is an important key to understand human behaviors, is the visual focus of at ...

EPFL2007

Joint Head Tracking and Pose Estimation for Visual Focus of Attention Recognition

Silèye Oumar Ba

École Polytechnique Fédérale de Lausanne2007

Some Basic Functions for Tree Representations of Bayesian Markov Chain Monte Carlo Clustering

Anthony Christopher Davison, Vahid Partovi Nia

The paper contains description of the implementation of C code for tree representation of Markov Chain Monte Carlo(MCMC) clustering. The aim of the code is to produce results which helps in visual representation of the most frequent pattern, its agglomerat ...

2007

Early Requirements and Business-IT Alignment with SEAM for Business

Gil Regev, Alain Wegmann, Irina Rychkova

The early requirements of an IT system should be aligned with the organization’s business imperatives. To understand these imperatives it is necessary to understand the organization’s position within its environment. SEAM for Business is a method designed ...

IEEE2007

A Monte-Carlo approach for tracking mobile personnel

Volkan Cevher

In this paper, we propose a Monte-Carlo method based on the particle filter framework to track footfall locations generated by mobile personnel using seismic arrays. While the particle proposal function follows a simple bootstrap approach, the novelty in o ...

2007

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

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 ...

2006

Multi-Person Tracking in Meetings: A Comparative Study

Daniel Gatica-Perez, Kevin Smith

IDIAP2006