Visual Object Recognition in Mobile Imagery for Situated Tourist Information Systems
Lucas Paletta, G. Fritz, Christin Seifert, Patrick Luley, Alexander Almér · University of Twente Research Information · 2005
We describe a system with a multi-sensor object awareness and positioning solution for augmented tourist information systems in urban areas. The system offers 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 a GPRS or UMTS capable 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 might be explored by a mobile user who is intending to learn within the urban environment. Ambient learning 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 user's current field of view. The described mobile system offers multiple opportunities for application in both mobile business and commerce, and is currently developed towards an industrial prototype.