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

EU FET FP6-511051 (www.mobvis.org)

The main objective in MOBVIS was 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 concentrated 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: