MobVis

Vision Technologies and Intelligent Maps for Mobile Attentive Interfaces in Urban Scenarios

Project duration: May 1st, 2005 to April 30th, 2008

The main objective in MOBVIS is to achieve a theoretical and practical leap in the application of artificial vision in smart mobile applications with a primary focus in spatial awareness and guidance. In order to achieve this goal, MOBVIS concentrates its research on the integration of multi-modal context awareness, vision based object recognition, and intelligent map technology, into an innovative form of an attentive interface, which enables perception and reasoning on a vast amount of data and in a continuously operating framework.

Partners:

Joanneum research, Graz, Austria
Royal Institute of Technology (KTH), Stockholm, Sweden
Technical University of Darmstadt, Germany
TeleAtlas, Gent, Belgium

Our scientific contributions lie within the following topics:

Informative Visual Features
Image Based Localization
Recognition of Parts, Objects and Events
Vision Based Context
Incremental Updating of the Intelligent Map
High-level Map Indexing and Retrieval

In the course of the project we have collected the following data sets:

LUIS34 - Ljubljana Urban Image Data Set
DUIS131 - Darmstadt Urban Image Data Set
GUIS107 - Graz Urban Image Data Set

Publications

Scientific output of our work within the project is described in these publications: Publications for the topic of Local-Global Tracking