Self-organizing 3D Camera Network for Indoor People Tracking

Fonte Standard Gras
Identifiant

Unité de recherche

INNOSUISSE

Numéro de projet

13105.1;2 PFFLE-ES

Titre du projet

Self-organizing 3D Camera Network for Indoor People Tracking

Titre du projet anglais

Self-organizing 3D Camera Network for Indoor People Tracking

Textes relatifs à ce projet

	Allemand	Français	Italien	Anglais
Description succincte	-	-	-
Résumé des résultats (Abstract)	-	-	-

Textes saisis

Catégorie	Texte
Description succincte (Anglais)	Self-organizing 3D Camera Network for Indoor People Tracking
Résumé des résultats (Abstract) (Anglais)	With the advent of inexpensive 3D cameras, such as the Kinect system for the Xbox, large scale networks for reliable people tracking became possible. A major problem of deploying such a large scale camera network is that the position and orientation of each camera needs to be known. The goal of the proposed project is the development of self-organizing 3D camera network, which needs no prior information about the camera positions and orientations but will learn this information as it is trying to track people. Besides being able to automatically estimate the cameras positions and orientations, the proposed system will also be able to map the indoor space where it is deployed allowing new indoor location based services.

Catégorie

Texte

Description succincte
(Anglais)

Self-organizing 3D Camera Network for Indoor People Tracking

Résumé des résultats (Abstract)
(Anglais)

With the advent of inexpensive 3D cameras, such as the Kinect system for the Xbox, large scale networks for reliable people tracking became possible. A major problem of deploying such a large scale camera network is that the position and orientation of each camera needs to be known. The goal of the proposed project is the development of self-organizing 3D camera network, which needs no prior information about the camera positions and orientations but will learn this information as it is trying to track people. Besides being able to automatically estimate the cameras positions and orientations, the proposed system will also be able to map the indoor space where it is deployed allowing new indoor location based services.