A Mobile Vision System for Multimedia Tourist Applications in Urban Environments

L. Paletta, G. Fritz, C. Seifert, P. Luley, A. Almer

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    6 Citations (Scopus)

    Abstract

    We present a computer vision system for the detection and identification of urban objects from mobile phone imagery, e.g., for the application of tourist information services. Recognition is based on MAP decision making over weak object hypotheses from local descriptor responses in the mobile imagery. We present an improvement over the standard SIFT key detector [1] by selecting only informative (i-SIFT) keys for descriptor matching. Selection is applied first to reduce the complexity of the object model and second to accelerate detection by selective filtering. We present results on the MPG-20 mobile phone imagery with severe illumination, scale and viewpoint changes in the images, performing with 98% accuracy in identification, efficient (100 background rejection, effficient (0 false alarm rate, and reliable quality of service under extreme illumination conditions, significantly improving standard SIFT based recognition in every sense, providing (important for mobile vision ) runtimes which are 8 (24) times faster for the MPG-20 (ZuBuD) database.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE ITSC 2006
    Subtitle of host publication2006 IEEE Intelligent Transportation Systems Conference
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages566-572
    ISBN (Print)1-4244-0094-5
    DOIs
    Publication statusPublished - 1 Sep 2006
    Event9th IEEE International Conference on Intelligent Transportation Systems, ITSC 2006 - Toronto, Canada
    Duration: 17 Sep 200620 Sep 2006
    Conference number: 9

    Conference

    Conference9th IEEE International Conference on Intelligent Transportation Systems, ITSC 2006
    Abbreviated titleITSC
    CountryCanada
    CityToronto
    Period17/09/0620/09/06

    Fingerprint Dive into the research topics of 'A Mobile Vision System for Multimedia Tourist Applications in Urban Environments'. Together they form a unique fingerprint.

    Cite this