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Proceedings Paper

Visual object recognition for mobile tourist information systems
Author(s): Lucas Paletta; Gerald Fritz; Christin Seifert; Patrick Luley; Alexander Almer
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Paper Abstract

We describe a mobile vision system that is capable of automated object identification using images captured from a PDA or a camera phone. We present a solution for the enabling technology of outdoors vision based object recognition that will extend state-of-the-art location and context aware services towards object based awareness in urban environments. In the proposed application scenario, tourist pedestrians are equipped with GPS, W-LAN and a camera attached to a PDA or a camera phone. They are interested whether their field of view contains tourist sights that would point to more detailed information. Multimedia type data about related history, the architecture, or other related cultural context of historic or artistic relevance might be explored by a mobile user who is intending to learn within the urban environment. Learning from ambient cues is in this way achieved by pointing the device towards the urban sight, capturing an image, and consequently getting information about the object on site and within the focus of attention, i.e., the users current field of view.

Paper Details

Date Published: 14 March 2005
PDF: 8 pages
Proc. SPIE 5684, Multimedia on Mobile Devices, (14 March 2005); doi: 10.1117/12.589006
Show Author Affiliations
Lucas Paletta, Joanneum Research Forschungsgesellschaft mbH (Austria)
Gerald Fritz, Joanneum Research Forschungsgesellschaft mbH (Austria)
Christin Seifert, Joanneum Research Forschungsgesellschaft mbH (Austria)
Patrick Luley, Joanneum Research Forschungsgesellschaft mbH (Austria)
Alexander Almer, Joanneum Research Forschungsgesellschaft mbH (Austria)


Published in SPIE Proceedings Vol. 5684:
Multimedia on Mobile Devices
Reiner Creutzburg; Jarmo H. Takala, Editor(s)

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