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Map-based Autonomous Personal Localization and Tracking

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Bayesian Approach for Indoor Pedestrian Localisation

The principal concept of navigation is to start from a known (initial) position and to ensure a continued and reliable localisation of the user during his/her movement. The initial position of the trajectory is usually obtained via GPS or defined by the us ...

STRC 20062006

Development of a robotic mobile mapping system by vision-aided inertial navigation

Fadi Atef Bayoud

Vision-based inertial-aided navigation is gaining ground due to its many potential applications. In previous decades, the integration of vision and inertial sensors was monopolised by the defence industry due to its complexity and unrealistic economic burd ...

EPFL2006

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

Integrating Photogrammetry and Inertial Sensors for Robotics Navigation and Mapping

Jan Skaloud, Bertrand Merminod, Fadi Atef Bayoud

Integrating visual and inertial sensors has become a common practice in navigation due to the increase in computer power, in algorithms advancement and in sensor improvements. One of the problems yet to be solved is the Simultaneous Localisation And Mappin ...

2005

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

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

A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking

Jean-Marc Odobez, Silèye Oumar Ba

This paper presents a Rao-Blackwellized mixed state particle filter for joint head tracking and pose estimation. Rao-Blackwellizing a particle filter consists of marginalizing some of the variables of the state space in order to exactly compute their poste ...

2005

A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking

Jean-Marc Odobez, Silèye Oumar Ba

IDIAP2005