Mobile Vision for Ambient Learning in Urban Environments

Gerald Fritz, Christin Seifert, Patrick Luley, Lucas Paletta, Alexander Almer

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    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. 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.
    Original languageEnglish
    Title of host publicationMobile learning anytime everywhere
    Subtitle of host publicationA book of papers from MLEARN 2004
    EditorsJill Attewell, Carol Savill-Smith
    PublisherLearning and Skills Development Agency
    Number of pages3
    ISBN (Print)1–84572–344–9
    Publication statusPublished - 1 Jul 2004
    Event3rd World Conference on Mobile and Contextual Learning, MLEARN 2004 - Bracciano, Italy
    Duration: 5 Jul 20046 Jul 2004
    Conference number: 3


    Conference3rd World Conference on Mobile and Contextual Learning, MLEARN 2004
    Abbreviated titleMLEARN


    • Mobile vision
    • Object recognition
    • Location based services
    • Learning in urban environments


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